Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Leibniz
- Nature Careers
- Academic Europe
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Evolutionary Biology, Plön
- University of Bonn •
- 4 more »
- « less
-
Field
-
, transcriptomic, and proteomic approaches. In parallel, engineered Aspergillus niger strains will be developed for the sustainable production of selected pigments as dyes, which will be further scaled up
-
comprised of a variety of W3 University professors along with their postdocs and PhDs. You will contribute to SFB1574 - the Circular Factory, which explores how future production systems can seamlessly
-
Infrastructure? No Offer Description Work group: IBG-3 - Agrosphäre Area of research: PHD Thesis Job description: Your Job: The PhD project offered will be part of the Cluster of Excellence: PhenoRob - Robotics
-
, chromatin profiling, and advanced imaging. The successful candidate will have the opportunity to develop and lead their own independent research project and build a small research team by hiring PhD students
-
engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
-
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
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
to minimize training effort # Devise appropriate metrics to evaluate and tune trained models with respect to reproduction of key physical results # Contribute to a parallel training workflow to stream data from
-
06.11.2025, Wissenschaftliches Personal About the PhD Researcher Position We are looking to hire a PhD researcher to join our team and work on two main projects in an international context. PhD
-
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
-
and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA