Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- CNRS
- Forschungszentrum Jülich
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oslo
- University of Washington
- SciLifeLab
- University of Utah
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Academic Europe
- Argonne
- Brookhaven National Laboratory
- Ecoles Pratique des Hautes Etudes - PSL
- Ghent University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Inria, the French national research institute for the digital sciences
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Karolinska Institutet, doctoral positions
- Marquette University
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Evolutionary Biology, Plön
- Medical College of Wisconsin
- Nanyang Technological University
- Pennsylvania State University
- Swedish University of Agricultural Sciences
- Technical University of Munich
- Texas A&M University
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet
- Universite de Montpellier
- University College Cork
- University of Amsterdam (UvA)
- University of Texas at Austin
- University of Twente
- University of Vienna
- Université Gustave Eiffel
- Université catholique de Louvain
- Université de Limoges
- Utrecht University
- 36 more »
- « less
-
Field
-
. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
-
working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
-
partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
-
two educational institutions where each offers its own separate study programme, rather than a joint study programme. Students can choose to complete part of their studies at a partner institution
-
develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
-
Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees
-
-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
-
through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Identifying the ecological factors involved in sympatric