Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Heidelberg University
- Karlsruher Institut für Technologie (KIT)
- Leibniz
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Evolutionary Biology, Plön
- Nature Careers
- Technische Universität Dortmund
- 2 more »
- « less
-
Field
-
on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
-
for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel
-
sintering press with selected copper pastes, followed by detailed characterization of the resulting interfaces in terms of porosity, thermal and mechanical integrity. In parallel, simulation models will be
-
build reliable, reproducible data flows for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely
-
skills Confident working in dynamic environments with a focus on efficiency and prioritizing parallel projects What you can expect Fascinating challenges in a scientific and entrepreneurial setting
-
, we are developing an automated disassembly system for electric vehicle batteries. A key component of this process is the rapid and reliable evaluation of individual cell health. This thesis contributes
-
, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm, aiming
-
architecture, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm
-
for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies
-
possible. What you will do You will be trained step by step in plant operation and actively support ongoing production processes. You will support the execution of quality controls in parallel with