Örebro University has the vision to be a prominent university . • Machine Learning experience would be a major plus Interested candidates should send a cover letter, one-page research statement, CV, 3 representative publications, and the contact information of at least three professional references to Dr. Ying Li at ying.3.li@uconn.edu. Posted: June 8, 2021. Postdoc position is a part of Swift Project gathering doctoral and postdoctoral researchers around the subject of machine learning, multi-objective optimization, safety, security and privacy preserving algorithms, at the Technical Faculty of IT and Design, Department of Electronic Systems, Aalborg University, Denmark. The fellow will be exposed to, and expected to contribute to, proposal writing, organization of scientific seminars, and to co-supervision of master students. Apply online. The postdoctoral research fellow will be a part of the UiT Machine Learning Group, and will engage in collaborative research with the other members of the group. Postdoc position in Machine Learning @ Halmstad University, Sweden. Overview Prof. Hima Lakkaraju and Prof. Marinka Zitnik invite applications for a Postdoctoral Research Fellowship position at Harvard University starting in the Summer or Fall of 2020.. The selected candidate will be expected to lead research in novel machine learning methods to combat COVID-19. The requirement also applies to those who are telecommuting and working virtually. Apply Today. The theory division at the Max Planck Institute for the Science of Light employs modern machine learning techniques for challenges in quantum technologies and artificial scientific discovery. Several positions (postdoc and PhD) are to be filled starting November this year, some of them in the context . Sandia National Laboratories (Livermore, CA) Posted: December 1, 2021 Postdoctoral Associate - Yip Lab Description of the Position: We are seeking a postdoctoral fellow to lead development of novel, machine learning algorithms for the analysis of MRI and 3D microscopy data. The research is a part of a project in the Neurotechnology group focusing on ear-EEG for sleep monitoring. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. : We are seeking a Postdoctoral Appointee/Scientist to apply machine learning, first principles, and classical simulations to materials discovery. Postdoctoral Appointee - Scientific Machine Learning (SciML) and Explainable Artificial Intelligence (XAI) The Mathematics and Computer Science Division at Argonne National Laboratory seeks well-prepared candidates for a postdoctoral position in explainable and interpretable scientific machine learning. 21d. Apply Today. Terms The position is available immediately and can be renewed annually. Candidates should be proficient in bioinformatics, data analysis, algorithms, combinatorial optimization, machine learning and computational biology. We are primarily interested in developing and applying machine. Job Description More specifically, this fellowship will focus on leveraging recent advances in explainable and . The postdoctoral research fellow will be a part of the UiT Machine Learning Group, and will engage in collaborative research with the other members of the group. . Postdoc in Machine Learning for Spatial Multi-omics of Glioblastoma, with German Cancer Research Center in the Helmholtz Association (DKFZ). Programming in Python and Pytorch / Tensorflow. Machine learning postdoctoral Jobs. The research is within the framework of the ERC CoMMBi project "Computational Microscope on Molecular Binding: from atom . Postdoc on Machine Learning/Deep Learning in Medical Imaging (University of Pennsylvania) University of Pennsylvania Philadelphia, PA. Job posting number: #7079553. Postdoc - Design and Implementation of Neuromorphic Systems for Machine Learning and Optimization, with Jülich Research Centre (FZJ). Application Deadline: Open Until Filled. Experience with machine learning and deep learning techniques, statistical modeling, biomechanical modeling, or image registration and analysis is preferred. Knowledge/experience with biophysical systems is a plus. Statistician (Postdoc or PhD candidate) "Interpretable Machine Learning". Experience with R, Python, and/or Perl is desirable. 4.2. Therefore, the postdoc is expected to have a very good theoretical background in machine learning. The Center for Machine Learning is housed in the Department of Computer Science within the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas.Our mission is to foster excellent research and development of machine learning algorithms motivated by challenges from real work domains ranging from precision health to natural language understanding, from . Research Fellow Machine Learning Deep Learning Pharmacoepi day/ 40 Brigham & Women's Faulkner Hospital (BWFH) Boston, MA Type Full-Time The requirement also applies to those who are telecommuting and working virtually. Potential topics include learning-based algorithms and theory for extremely limited-view tomographic reconstructions, physics-informed machine learning and network architectures, etc. Research Associate (Postdoc) on applied machine-learning and software engineering, with Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg. And then he remained stuck on it for the rest of his life. A postdoctoral fellow position is available at the Yale University School of Medicine within Frederick. Communicating your results in machine learning conferences and journals. Appointments will begin Summer or Fall 2022. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important . Postdoctoral Positions now Available for 2022. 67 views. What You Will Do We seek a motivated candidate for a postdoctoral research position in applied statistics and machine learning. 91959. £35K - £41K (Employer Est.) Job Description. Los Alamos National Laboratory Scientific Machine Learning Postdoc in Los Alamos, New Mexico What You Will Do The Applied Mathematics and Plasma Physics Group (T-5) in Theoretical Division is seeking a Postdoctoral Research Associate in the area of scientific machine learning (SciML) and its application to plasma physics. As such, the postdoc will include close collaboration with other members of the department but also internationally. In the mid-1980s, the mathematician Jean Bourgain thought up a simple question about high-dimensional shapes. Postdoc, Graduate Students and Project Manager Positions, Machine Learning for Drug Discovery. Postdoc & Graduate Fellowship Machine Learning & Artificial Intelligence Food and Drug Administration (FDA)- Silver Spring, MD 4.7 Excellent coding skills in Python and prior experience with machine learning code libraries (Tensorflow and/or PyTorch). Postdoctoral Fellow in Machine Learning and Multimodal Data - Yale School of Medicine. Postdoc in Radiation Detection and Machine Learning. See if you qualify! We are looking for a motivated, independent post-doctoral researcher in AI and machine learning eager to work on the development of new methodologies and theory centered on the generalization properties of neural networks, specifically in the context of transfer learning. Argonne National Laboratory is seeking a Postdoctoral Appointee that has experience with HPC (high performance computing) and ML (machine learning) to join an exciting project. Postdoctoral Appointee - Scientific Machine Learning (SciML) and Explainable Artificial Intelligence (XAI) The Mathematics and Computer Science Division at Argonne National Laboratory seeks well-prepared candidates for a postdoctoral position in explainable and interpretable scientific machine learning. TAMIDS is seeking to recruit a postdoctoral research associate to join the SciML Lab . Thanks for your interest in the Machine Learning Postdoc position. This project is to develop a scalable dynamic scientific data reduction (SDR) framework (and practical library/toolkit) that can automatically construct . Search Machine learning postdoctoral jobs. Any concerns about the ability to meet this requirement should be directed to HR Solutions at (505) 284-4700. : We are seeking a Postdoctoral Appointee/Scientist to apply machine learning, first principles, and classical simulations to materials discovery. The Applied Mathematics and Plasma Physics Group (T-5) in Theoretical Division is seeking a Postdoctoral Research Associate in the area of scientific machine learning (SciML) and its application . $82,000 - $88,057 a year Quick Apply Applied Statistics and Machine Learning Postdoc Los Alamos, New Mexico Job ID: IRC90258 Apply Now What You Will Do We seek a motivated candidate for a postdoctoral research position in applied statistics and machine learning. You will work in a program that supports fundamental . Sandia reserves the right . The selected candidate will be expected to lead research in novel machine learning methods to combat COVID-19. Lawrence Berkeley National Laboratory's (LBNL) Computation Research Division is hiring for a Machine Learning for Rare Earth Chemistry Postdoctoral Fellow. Apply Today. The NSF AI Institute for Foundations of Machine Learning (IFML), and the NSF TRIPODS program at the University of Texas seek highly qualified candidates (within five years of the award of their PhD) for a new UT ML Research Fellow Program. We are currently looking for a postdoc to join our multi-disciplinary team of researchers and engineers working in Machine Learning at the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University (HBKU) under Qatar Foundation. The MIT Statistics and Data Science Center at the Institute for Data, Systems, and Society is seeking applicants for a Postdoctoral Associate to perform independent research in Machine Learning and Applications, in the general area of theoretical ML with a focus on statistical and computational aspects of deep learning, equivariant neural networks, generalization, robustness, as… This technology, based on machine reasoning, machine learning, distributed computing and high-performance, multi-disciplinary and multi-paradigm system modelling, is the flagship product of the Integrated Modelling Partnership (IMP) which is expected to serve a growing number of worldwide users (from academia, governments, NGOs and industry) in . Örebro University: AI/Machine Learning Postdoc Researcher [Örebro, Sweden] Örebro University is seeking a Postdoc Researcher in Örebro, Sweden. To the surprise of experts in the field, a postdoctoral statistician has solved one of the most important problems in high-dimensional convex geometry. The ALCF has an opening for a postdoctoral position in machine learning and deep learning. Job Description. The research will focus on using measurements from autonomous saildrones and moored stations to train machine learning algorithms for improved retrieval of the marine boundary structure from satellite . Salary scale 13 of the German public sector salary system (TV-L) The position starts as soon as possible. Liverpool, England. The NSF AI Institute for Foundations of Machine Learning (IFML), and the NSF TRIPODS program at the University of Texas seek highly qualified candidates (within five years of the award of their PhD) for a new UT ML Research Fellow Program. Position Description. The Division of Neurocritical Care in the Department of Neurology at Yale University is inviting applications for a two-to-three-year postdoctoral position with experience in one or more of the following: physiologic signal processing (e.g., EEG), image processing and machine learning methods. Top Company 30d+ As a postdoc, you define your own research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and…… 4.1 Lockheed Martin Students & Graduates at Genentech Department of Engineering at Aarhus University is inviting applications for a two-year postdoctoral position within signal processing and machine learning of sleep EEG. The postdoc will work on numerous challenges at the intersection of machine learning, computational imaging particularly tomographic imaging, and theory. Postdoctoral Research Associate in Machine Learning of Ageing Grade 7. Work duties The postdoc will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. Communication in English, both written and spoken. PhD Open Positions The contract is initially limited to 3 years (extension possible), 39.2 hours/week (100% position). The fellow will be exposed to, and expected to contribute to, proposal writing, organization of scientific seminars, and to co-supervision of master students. Creative problem solving and generation of new ideas. The postdoc also has the flexibility to develop his/her own research questions within the generic scope of water quality, remote sensing, or machine learning. Knowledge/experience with biophysical systems is a plus. The successful candidate will be working with selecting sensors as well as integrating and processing data from these. Machine Learning for 6G wireless (Research Assistant (PhD) / Postdoc positions, RWTH Aachen, Germany) We have open positions for research assistants (PhD) / postdocs at the Institute for Communication Technologies and Embedded Systems (www.ice.rwth-aachen.de) of RWTH Aachen University with Prof. Haris Gačanin. The Postdoctoral Fellow will join the DSS group and will contribute to the strategic and integrated research effort on machine learning/AI models for the aforementioned distributed/edge environments, through techniques that include but are not limited to: model design, model distillation, model quantization, distributed training, etc. PostDoc in Bioinformatics / Machine Learning (Valid from 04/10/2021 to 31/12/2021) Language: English (UK) Location Belval Country: Luxembourg Organisation LCSB data: Postdoc in EEG Signal Processing and Machine Learning 986022. Machine Learning for Quantum Technologies. 1 position for a PostDoc with excellent background in machine learning is available in the Limongelli Research Group (LRG) at University of Lugano USI (Switzerland). Postdoc position at Weierstrass Institute, Berlin, intersection of mathematical optimization, machine learning, optimal control The Weierstrass Institute (WIAS) in Berlin, Germany, is looking for a postdoc candidate passionate about conducting research in the intersection of mathematical optimization, machine learning, optimal control with a . The Institute of Pathology is offering a new position for a Postdoc (m/w/d) for machine learning in computational digital pathology The full time position (38,5 hrs / week) is initially for 3 years. Post Doc Researcher - Machine Learning (Interdisciplinary) - Microsoft Research New York, NY $77K - $194K (Glassdoor est.) 576 open jobs for Machine learning postdoctoral. View job description, responsibilities and qualifications. Overview Prof. Hima Lakkaraju and Prof. Marinka Zitnik invite applications for a Postdoctoral Research Fellowship position at Harvard University starting in the Summer or Fall of 2020.. Drug development does not. Easy 1-Click Apply (MERCK SHARP & DOHME CORP) Postdoctoral Research Fellow Program: Optimizing Antibody Developability Through Machine Learning job in San Francisco, CA. Our work combines technical and translational research, focusing on the development of novel AI and computational tools to probe, predict and understand neuronal and vascular . 1 position for a PostDoc with excellent background in machine learning is available in the Limongelli Research Group (LRG) at University of Lugano USI (Switzerland). Postdoctoral Position - Machine Learning in Materials Science This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Apply for Postdoctoral Fellow- Machine Learning job with Genentech in South San Francisco, California, United States of America. 55 jobs. Postdoctoral Fellow in Machine Learning Job Description Postdoctoral Fellow in Machine Learning Tumor evolution proceeds at a rapid pace. A group of professors led by Prof. Yoshua Bengio is embarking on several projects on machine learning for drug discovery, motivated by the global challenge of pandemics and the growing threat of antimicrobial resistance. Postdoctoral Fellow in Machine Learning for Diagnostics of Neurological Movement Disorders The Dystonia and Speech Motor Control Laboratory ( at Harvard Medical School, Massachusetts Eye and Ear, and . This postdoc is part of a larger project within the Department of Mathematics at KTH whose goal is to explore and exploit recent developments in machine learning and artificial intelligence to solve problems in financial mathematics. Postdoc position in Physics-constrained machine learning for scale-resolving simulations of turbulent flows, with Aarhus University (AU). Work with world class researchers to solve the world's biggest challenges Join CSIRO's Data61, the largest data innovation group in Australia The postdoc will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. Candidates should have a PhD and research experience in bioinformatics, genomics, systems biology or related fields.…. University of Liverpool. The position is generally suitable for part-time employment. This position will be responsible for research focused on developing machine learning approaches and data sets, and applying the methods to develop novel molecular systems . In order for cancer therapy to achieve a durable response over years rather than months, it must "evolve" as quickly as the tumor does. The TAMIDS Scientific Machine Learning (SciML) Lab is part of a new initiative to develop knowledge, resources, and community around thematic areas of Data Science / Artificial Intelligence / Machine Learning, encompassing research, education, and outreach. Altice's group, starting Fall/Winter 2021. Requisition #. Graph Neural Networks is an emerging and promising field of machine learning, in the intersection of deep neural networks and graph theory, that is uniquely suitable to address both aspects. Apply Today. 64888 - CSIRO Postdoctoral Fellowship in Machine Learning and Artificial Intelligence: Constraints. In particular, the ALCF is exploring applications of novel AI chipsets and reduced precision techniques for faster acceleration, training, and inference of deep learning models. We expect that you bring expertise within: Machine learning methods research. Lawrence Berkeley National Laboratory's (LBNL) Applied Mathematics and Computational Sciences Division is hiring for a Machine Learning for Chemistry Postdoctoral Fellow.This position will be responsible for research focused on developing machine learning approaches and data sets, and applying the methods to develop novel molecular systems for the extraction of carbon from the air and/or . PostDoc Jobs View - Postdoc Positions - Office of Intramural Training & Education at the National Institutes of Health . The postdoctoral position is part of a NOAA sponsored new initiative dedicated to developing machine learning models for Arctic air-sea fluxes. This postdoc position will involve the development of machine learning methods that account for these diverse requirements. Job Description. The Computational Health Informatics Program (CHIP) at Boston Children's Hospital hosts a training program for postdoctoral fellows to be trained in Informatics, Genomics, Machine Learning, Artificial Intelligence, and Biomedical Data Science. The Applied Mathematics and Plasma Physics Group (T-5) in Theoretical Division is seeking a Postdoctoral Research Associate in the area of scientific machine learning (SciML) and its application . A prolongation is desired. How to apply Postdoc Position in Machine Learning, Qatar Computing Research Institute. More specifically, this fellowship will focus on leveraging recent advances in explainable and . Primary duties for this position include: • Conduct research activities on predicting and monitoring inland harmful algae blooms (50%) • Compile, manage, and analyze satellite imagery Get the right Machine learning postdoctoral job with company ratings & salaries. Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy's Office of Science. Appointments will begin Summer or Fall 2022. Unfortunately this position has been closed but you can search our 400 open jobs by clicking here . An important part of the postdoc's work will be to develop the theoretical foundation of machine learning and new algorithms to address the challenges within the subject area of this position. (2 Positions) Do you have experience in Machine Learning and Artificial Intelligence? In these domains, besides accuracy, machine learning implementations are also subject to requirements on trust, privacy, unbiasedness, interpretability, transparency, and accountability, among others. Candidates with a strong background and track record in big data analysis, especially in the context of cancer genomics as well as other multi-omics, will be preferentially considered. Postdoc in Machine Learning 100 % With the launch of a new National Center of Competence in Research (NCCR) Evolving Language, which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to hire a four-year postdoc position specialized in data science and in machine learning. Preferred requirements for this position include experience with the Unified Medical Language System (UMLS), statistics, data mining and machine learning. Postdoctoral Positions now Available for 2022. Machine Learning: 3 years (Required). Home office is pos . engineering, or related fields or a medical degree. . to Machine Learning News The Weierstrass Institute (WIAS) in Berlin, Germany, is looking for a postdoc candidate passionate about conducting research in the intersection of mathematical optimization, machine learning, optimal control with a focus on robustness under distribution shift. 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