Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Technical University of Munich
- DAAD
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Max Planck Institute for Demographic Research (MPIDR)
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Leibniz
- Max Planck Institute for Demographic Research, Rostock
- Nature Careers
- TU Dresden
- Technische Universität Dortmund
- 4 more »
- « less
-
Field
-
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
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 23 days ago
expulsion Symbiont integration Close collaboration with parallel efforts in: Metabolic profiling Transcriptomics Your Profile Master’s degree (or equivalent) in biology, marine science, molecular biology
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 23 days ago
: Symbiosis formation Symbiosis breakdown Close collaboration with parallel efforts in: Cellular signaling Transcriptomics Your Profile Master’s degree (or equivalent) in biology, marine science, molecular
-
processes under ultra-high vacuum and chemically reactive environments. This predictive framework will enable rational design of vapor-phase synthesis pathways and support close collaboration with
-
of cloud microphysical processes, with the goal to better understand clouds and their interactions with other Earth system components. Using this framework, we strive for a high degree of process-level
-
invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using