Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- CNRS
- University of California Berkeley
- Technical University of Munich
- University of Oxford
- Northeastern University
- University of North Carolina at Chapel Hill
- KINGS COLLEGE LONDON
- Oak Ridge National Laboratory
- Princeton University
- Stanford University
- Argonne
- Texas A&M University
- University of Minnesota
- Duke University
- Pennsylvania State University
- University of Florida
- University of Twente (UT)
- ;
- European Space Agency
- KTH Royal Institute of Technology
- Stony Brook University
- Technical University of Denmark
- The University of Arizona
- University of Central Florida
- University of Miami
- Yale University
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Copenhagen Business School
- Max Planck Institute (MPI) for Psycholinguistics
- RIKEN
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- U.S. Department of Energy (DOE)
- UNIVERSITY OF SYDNEY
- University of California, Berkeley
- University of Sydney
- University of Twente (UT); Enschede
- Virginia Tech
- Carnegie Mellon University
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Emory University
- Empa
- FAPESP - São Paulo Research Foundation
- Ghent University Global Campus
- King Abdullah University of Science and Technology
- King's College London
- Leibniz
- National Aeronautics and Space Administration (NASA)
- New York University of Abu Dhabi
- SUNY Polytechnic Institute
- University of British Columbia
- University of California
- University of Houston
- University of Houston Central Campus
- University of Liverpool
- University of Luxembourg
- University of Oklahoma
- University of Southern Denmark
- University of Texas at Arlington
- University of Turku
- University of Twente
- Wageningen University & Research
- Wayne State University
- Aix-Marseille Université
- Atlantic Technological University
- Barcelona Supercomputing Center (BSC)
- Baylor College of Medicine
- Brookhaven Lab
- Brookhaven National Laboratory
- CEA-Saclay
- CISPA Helmholtz Center for Information Security
- Canadian Association for Neuroscience
- Case Western Reserve University
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zürich
- EURAXESS
- Ecole Normale Supérieure de Lyon
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Free University of Berlin
- French National Research Institute for Sustainable Development
- Georgia State University
- Heriot Watt University
- Heriot-Watt University;
- ICN2
- IMT - Atlantique
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute for bioengineering of Catalonia, IBEC
- Japan Agency for Marine-Earth Science and Technology
- Johns Hopkins University
- 90 more »
- « less
-
Field
-
questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information
-
Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
Requirements REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep
-
Research Infrastructure? No Offer Description Project responsibilities like: Develop and refine deep learning architectures for climate downscaling. Integrate multi-source satellite data and geophysical
-
develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
-
out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
-
variational models and deep learning techniques. You will implement and validate reconstruction algorithms, ensuring their performance, robustness, and efficiency for clinical application. You will participate
-
, analysis and deep learning, 2) biostatistics and health/clinical data analysis or 3) cellular and molecular techniques will be an advantage. Opportunities for publication and independent development will be
-
guiding the design and implementation of SME-focused AI/ML solutions in the human and agri-health domains . The postholder may also contribute to cross-border Deep Research activities where appropriate
-
, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs. Proficiency inPython programmingand major ML/DL frameworks (e.g., PyTorch, TensorFlow