Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of Vienna
- UNIVERSITY OF VIENNA
- CNRS
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Medical University of Innsbruck
- NTNU Norwegian University of Science and Technology
- SciLifeLab
- Technical University of Munich
- Technische Universität Berlin •
- COPENHAGEN BUSINESS SCHOOL
- Centrale Supelec
- Deutsches Elektronen-Synchrotron DESY
- Goethe University Frankfurt •
- Hannover Medical School •
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- Karlsruhe Institute of Technology •
- King's College London
- Ludwig-Maximilians-Universität München •
- Monash University
- NORCE Norwegian Research Centre
- NTNU - Norwegian University of Science and Technology
- Nantes Université
- Purdue University
- Radboud University
- Ruhr-Universität Bochum •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- UNIVERSITY OF EAST LONDON
- Umeå University
- Universite de Montpellier
- University of Amsterdam (UvA)
- University of Bayreuth •
- University of Bradford;
- University of Lincoln
- University of Liège
- University of Passau •
- University of Sheffield
- University of Texas at El Paso
- Université Toulouse Capitole
- Wageningen University & Research
- 32 more »
- « less
-
Field
-
Master’s degree in epidemiology, data analysis and biostatistics, AND who already has experience in analysing observational cohort data (multivariate statistical analysis, clustering, large-scale database
-
tissues or cells at cohort scale have documented proficiency in High Performance Computing (HPC).Practical experience running large-scale jobs on an HPC cluster, including CPU large-memory node management
-
Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI: Advancing machine unlearning, privacy
-
of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large
-
of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large
-
transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition
-
submissions in clusters Further details The position is funded (Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year
-
on HPC clusters for large-scale hierarchical tomography apply algorithms to experimental tomographic data collaborate closely with beamline scientists and project partners publish and present results in
-
reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale
-
temporarily carried the name Einstein Center for Catalysis (EC2/BIG-NSE). Since its inception, it has been closely associated with the Unified Systems in Catalysis (UniSysCat) (www.unisyscat.de ) Cluster