Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Argonne
- Delft University of Technology (TU Delft)
- University of Minnesota
- Chalmers University of Technology
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of North Carolina at Chapel Hill
- Wayne State University
- CNRS
- Carnegie Mellon University
- Cornell University
- EPFL
- Harvard University
- Helmholtz Association of German Research Centres
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- University of Florida
- University of Oxford
- University of Washington
- Aarhus University
- Duke University
- New York University
- Northeastern University
- Singapore-MIT Alliance for Research and Technology
- Technical University of Munich
- University of Miami
- Utrecht University
- Yale University
- Aalborg University
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Institut Pasteur
- KTH Royal Institute of Technology
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- Texas A&M University
- The Ohio State University
- The University of Iowa
- University College Cork
- University of Vienna
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Baylor University
- ETH Zürich
- European Space Agency
- Forschungszentrum Jülich
- ICN2
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Queen Mary University of London;
- SciLifeLab
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of California
- University of London
- University of Lund
- University of Texas at Arlington
- University of Turku
- Virginia Tech
- Vrije Universiteit Brussel
- ;
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Beijing Academy of Quantum Information Sciences
- CEA
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ESSEC Business School
- Empa
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- IRCM - Cancer Research Institute of Montpellier
- Imperial College London
- Indiana University
- Institute of Marine Research
- KU LEUVEN
- King Abdullah University of Science and Technology
- King's College London
- Lancaster University
- Le Mans Université
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max-Delbrück-Centrum für Molekulare Medizin
- Michigan State University
- 90 more »
- « less
-
Field
-
various concepts in welding and related mechanical engineering processes and cleaning existing datasets. Creating deep learning models. Using deep learning to create a robust model that predicts welding
-
modelling (e.g., LSTMs) and deep generative/unsupervised anomaly detection techniques (e.g., VAEs). *Strong programming proficiency in Python and familiarity with standard data science and machine learning
-
-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
-
, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with
-
landfill. We are looking for a passionate researcher who can undertake mechanical design, design and conduct experiments, learn quickly, solve complex problems, develop innovative solutions, and contribute
-
deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
-
looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
-
different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and