Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Delft University of Technology (TU Delft)
- Cornell University
- EPFL
- National Energy Technology Laboratory (NETL)
- Utrecht University
- Chalmers University of Technology
- University of Washington
- Aalborg University
- Duke University
- Eindhoven University of Technology (TU/e)
- Oak Ridge National Laboratory
- Yale University
- Aarhus University
- KTH Royal Institute of Technology
- SciLifeLab
- Technical University of Munich
- University of Minnesota
- CNRS
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of South Carolina
- University of Twente (UT)
- Carnegie Mellon University
- Helmholtz Association of German Research Centres
- Human Technopole
- Princeton University
- University of California
- University of Miami
- AALTO UNIVERSITY
- Boise State University
- Empa
- King's College London
- Loyola University
- McGill University
- Northeastern University
- Pennsylvania State University
- Purdue University
- University of Groningen
- University of Nevada Las Vegas
- Wageningen University & Research
- Washington State University
- Washington University in St. Louis
- Argonne
- Baylor University
- Computer Vision Center
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Harvard University
- Institut Pasteur
- King Abdullah University of Science and Technology
- Leiden University
- Maastricht University (UM)
- New York University
- The Ohio State University
- University College Cork
- University of California Irvine
- University of Copenhagen
- University of Luxembourg
- University of North Carolina Wilmington
- University of Texas at Arlington
- University of Twente
- Université de Caen Normandie
- VIB
- Vrije Universiteit Brussel
- Aalborg Universitet
- Adam Mickiewicz University, Poznań
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Baylor College of Medicine
- Broad Institute of MIT and Harvard
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Systems Biology Dresden (CSBD)
- Central European University
- Copenhagen Business School
- DI ENS
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ELLIS Institute Finland
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- George Washington University
- Georgetown University
- Great Bay University
- HITS gGmbH
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- INSERM
- INSERM DR Paris 5
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto Superior Técnico
- Istituto Italiano di Tecnologia
- Jönköping University
- Karolinska Institutet (KI)
- 90 more »
- « less
-
Field
-
equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly
-
Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
on LazySlide ( et al Nature Methods ), our scalable software foundation, and our deep learning framework for age prediction (Abila et al., Nature Medicine, in press) to engineer a body-scale machine learning
-
strategies within it. You will combine archaeological and landscape data (maps, satellite imagery, archaeological datasets) with machine learning approaches to build a system that highlights promising
-
of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
-
generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
-
, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
-
Skills: • Prior experience in quantum information, quantum computing, machine learning. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV
-
statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
-
your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research