Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ICN2
- Nature Careers
- CNRS
- Oak Ridge National Laboratory
- Argonne
- Princeton University
- University of Oslo
- University of Oxford
- Aarhus University
- Forschungszentrum Jülich
- Universidad Politecnica de Cartagena
- Brookhaven National Laboratory
- Chalmers University of Technology
- Cornell University
- FAPESP - São Paulo Research Foundation
- Institut Català de Nanociència i Nanotecnologia
- Karolinska Institutet (KI)
- Pennsylvania State University
- RIKEN
- Umeå University
- Umeå universitet
- Umeå universitet stipendiemodul
- Universite de Montpellier
- University College Cork
- Academic Europe
- ETH Zürich
- Ecoles Pratique des Hautes Etudes - PSL
- European Magnetism Association EMA
- European Space Agency
- Ghent University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Photonic Sciences
- KAUST
- Lawrence Berkeley National Laboratory
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Radboud University
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Stanford University
- Technical University of Denmark
- Texas A&M University
- The University of Arizona
- The University of Iowa
- The University of Western Australia
- UNIVERSITY OF VIENNA
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Amsterdam (UvA)
- University of Florence
- University of Hull;
- University of Liverpool
- University of Lund
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Twente
- University of Utah
- University of Washington
- Université catholique de Louvain
- Uppsala universitet
- Utrecht University
- Washington University in St. Louis
- 60 more »
- « less
-
Field
-
protein allowable milk with the least amount of feed and animal inputs under feeding and management conditions in India. • Integrate the feed chemistry data being developed in a parallel project. • Travel
-
. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
-
parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities, organisation of meetings, and management of industrial site visits required
-
parallel training, and end-to-end modern machine learning pipelines. Ability to conduct independent research, critically engage with emerging challenges in AI efficiency and sustainability, and collaborate
-
academic identities. More about the position The postdoctoral fellow will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and
-
advanced battery technologies with strong translational and commercialization potential. The project focuses on next-generation batteries in three parallel research directions: extreme-temperature (high
-
methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
-
and writing scientific code - Knowledge of at least one of the parallel programming paradigms (MPI, OpenMP, GPU) - Proficiency in both spoken and written English is essential (work will be carried out
-
. Experience in developing and applying advanced parametric/machine learning postprocessing techniques, producing probabilistic forecasts of hydrometeorological variables, and parallel computing. Proficiency in
-
. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming