Sort by
Refine Your Search
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- Oak Ridge National Laboratory
- University of Oxford
- Argonne
- Harvard University
- Pennsylvania State University
- University of Florida
- University of Washington
- Cornell University
- Macquarie University
- Yale University
- Baylor College of Medicine
- Carnegie Mellon University
- Duke University
- Helmholtz Association of German Research Centres
- Stony Brook University
- Aarhus University
- Baylor University
- Empa
- Forschungszentrum Jülich
- Massachusetts Institute of Technology
- New York University
- Northeastern University
- Queen Mary University of London
- Queen Mary University of London;
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- Texas A&M University
- The University of Iowa
- UNIVERSITY OF HELSINKI
- University of California
- University of London
- University of Oxford;
- University of Vienna
- Virginia Tech
- Vrije Universiteit Brussel
- Wayne State University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- AALTO UNIVERSITY
- CNRS
- Computer Vision Center
- Delft University of Technology (TU Delft)
- EPFL
- ETH Zürich
- East Carolina University
- European University Institute
- Heidelberg University
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Indiana University
- Institut Pasteur
- Institute for bioengineering of Catalonia, IBEC
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Michigan State University
- Norwegian University of Life Sciences (NMBU)
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Saarland University
- South Dakota Mines
- Technical University of Munich
- Texas A&m Engineering
- The University of Arizona
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University of Amsterdam (UvA)
- University of California Irvine
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of Miami
- University of Nebraska Medical Center
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of Reading;
- University of Southern California
- University of Sydney
- University of Tasmania
- University of Virginia
- Universität für Bodenkultur
- Washington University in St. Louis
- universitypositions
- 80 more »
- « less
-
Field
-
for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
-
calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information
-
strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
-
/Qualifications Strong research track record in AI and scientific applications. Excellent knowledge of Machine Learning and Deep Learning. Strong Python programming skills. Experience with PyTorch, TensorFlow
-
IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
-scale deep learning, ideally applied to protein or nucleic acid sequences Ability to work independently and to translate diverse scientific use cases (brought by wet-lab and computational colleagues alike
-
Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
-
. deep learning. Experience with at least two of the following: remote sensing of surface and ground water resources, analysis of satellite gravimetry (GRACE) data, analysis of radar and optical remote
-
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
-
in the area of probabilistic methods in machine learning. These include applications of Random Matrix theory and Gaussian processes to Deep Neural Nets. Teaching may be required. Education and
-
/deep learning-based medical image analysis methods for computerised tomography scans (CT scans). Key applications of such ML/DL methods are illustrated by our prior research (PMIDs 33913675, 33234786