Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Humboldt-Stiftung Foundation
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Technical University of Munich
- DAAD
- Nature Careers
- Leibniz
- Charité - Universitätsmedizin Berlin •
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- University of Bonn •
- 3 more »
- « less
-
Field
-
- into a GPU-enabled and parallel code to run efficiently on state-of-the-art exascale hardware Designing implementations and reviewing community contributions of library features and new statistical
-
this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
-
on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
-
. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
-
, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
-
the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
-
of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
-
-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
-
opportunity to develop and lead their own independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee