Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Free University of Berlin
- Heidelberg University
- FUB - Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Leibniz Institute for Plasma Science and Technology
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Physics, Garching
- University of Hamburg
- University of Tuebingen
- University of Tübingen
- 5 more »
- « less
-
Field
-
: A Masters degree with subsequent PhD in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong software skills and good knowledge
-
infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
-
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
-
-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies. Potential Ph.D. projects may focus on large language model (LLM) research. Ph.D
-
Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
to participate in the detector and ASIC developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle
-
well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
-
description: AG Weinelt is searching for a Postdoc in the field of Ultrafast Spin and Electron Dynamics, who is experienced in performing time-resolved X-ray spectroscopy experiments at large-scale facilities
-
the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
-
18.08.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe
-
data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San