Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- University of Oxford
- Stanford University
- Technical University of Munich
- Argonne
- ;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Duke University
- U.S. Department of Energy (DOE)
- Aarhus University
- Cornell University
- Pennsylvania State University
- Singapore Institute of Technology
- Stony Brook University
- The University of Arizona
- University of Washington
- Brookhaven Lab
- Leibniz
- NEW YORK UNIVERSITY ABU DHABI
- Northeastern University
- Technical University of Denmark
- University of Minnesota
- Yale University
- Copenhagen Business School , CBS
- Forschungszentrum Jülich
- New York University
- University of California
- University of California Berkeley
- University of Central Florida
- University of Colorado
- University of Florida
- University of Texas at Arlington
- Wayne State University
- AALTO UNIVERSITY
- Cold Spring Harbor Laboratory
- Durham University
- King Abdullah University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- National University of Singapore
- Oak Ridge National Laboratory
- Princeton University
- RIKEN
- THE UNIVERSITY OF HONG KONG
- Texas A&M University
- UNIVERSITY OF VIENNA
- University of Basel
- University of British Columbia
- University of California, Merced
- University of Groningen
- University of Houston Central Campus
- University of Lund
- University of Maryland, Baltimore
- University of Miami
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Vienna
- Virginia Tech
- Westlake University
- ; Ecole polytechnique federale de Lausanne - EPFL
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- Academia Sinica
- AcademicTransfer
- California State University, Northridge
- Canadian Association for Neuroscience
- Carnegie Mellon University
- Carnegie Mellon University- Qatar
- Case Western Reserve University
- Chalmers University of Technology
- DURHAM UNIVERSITY
- Duke University Medical Center
- ETH Zurich
- Escola Superior de Agricultura Luiz de Queiroz/ESALQ/USP
- European Space Agency
- Florida Atlantic University
- Genentech
- Ghent University
- Heriot Watt University
- Indiana university Indianapolis
- Institut Pasteur
- KINGS COLLEGE LONDON
- Lawrence Berkeley National Laboratory
- Linköping University
- Los Alamos National Laboratory
- National Renewable Energy Laboratory NREL
- North Carolina A&T State University
- Purdue University
- Radboud University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- SciLifeLab
- South Dakota Mines
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- Syracuse University
- Texas A&m Engineering
- 90 more »
- « less
-
Field
-
learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
-
genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
-
to work on a project at the intersection of deep learning and computer security/privacy, under the direction of Dr. Michael Wu. The project seeks to investigate security and privacy problems in deep
-
The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
-
, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine learning) or a directly related field at the time of appointment is required. The successful applicant
-
. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
-
CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient
-
to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
-
Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
-
materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about