Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Aalborg University
- Oak Ridge National Laboratory
- AALTO UNIVERSITY
- University of Amsterdam (UvA)
- ETH Zurich
- KTH Royal Institute of Technology
- University of Oslo
- Aix-Marseille Université
- NTNU Norwegian University of Science and Technology
- Radboud University
- The University of Arizona
- University of Gdansk
- Aalborg Universitet
- Argonne
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- CEA
- CNRS
- Centre for Genomic Regulation
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- EPFL
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Forschungszentrum Jülich
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- Ghent University
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- Lawrence Berkeley National Laboratory
- Linköping University
- Massachusetts Institute of Technology
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- NTNU - Norwegian University of Science and Technology
- Nantes Université
- Pennsylvania State University
- SciLifeLab
- St Jude Children's Research Hospital
- Stanford University
- Stony Brook University
- Technical University of Munich
- The University of Chicago
- The University of Texas MD Anderson Cancer Center
- University of Antwerp
- University of Liverpool
- University of Minnesota
- University of South Carolina
- University of Washington
- Université Bourgogne Europe
- Utrecht University
- Virginia Tech
- Łukasiewicz Research Network – PORT Polish Center for Technology Development
- 43 more »
- « less
-
Field
-
modeling. This position offers a vibrant research environment with access to world-class high-performance computing clusters and opportunities to collaborate broadly across the departments of Physics
-
genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
-
methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
-
knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
-
Posted on Tue, 04/07/2026 - 20:37 Important Info Faculty Sponsor First name: Stephen Faculty Sponsor Last Name: Hinshaw Stanford Departments and Centers: Molecular and Cellular Physiology Postdoc
-
members, including RSEs, postdocs, visiting PhD students, predoctoral researchers, and administrative hires. Coordinate with DSI Facilities and IT for building access, equipment setup, and computing
-
communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics
-
applications with related expertise. Experience with sequencing approaches to study RNA turnover or with massively parallel reporter assays(MPRAs) will be beneficial. Must Have Bioinformatics experience in
-
to operate in a scalable and decentralized manner while achieving obstacle avoidance using onboard sensing and adapting to changes in dynamic environments. In parallel to the theoretical and algorithmic
-
, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent