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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
collaborators # Ability to set individual goals, self-structure and fulfill milestones # Parallel programming, ideally in C++ and with GPUs # Knowledge with Python # Excellent command of English (spoken and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL
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that generates XX males and XY female individuals (Panten 2024). In parallel, we have developed in mice a highly controlled cancer induction system using chemical carcinogenesis, which complements and deeply
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technologies Proficiency in English Experience in parallel training of large DL models is a plus While the position will be a team effort, it is a multicenter project and thus independence and capability
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
powerful MPA-owned parallel computing clusters. It has also privileged access to supercomputers at the Max Planck Computing and Data Facility. Interested scientists are invited to apply electronically
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 months ago
on several available Drosophila panels. In a parallel evolve and re-sequence (E&R) project, Drosophila populations will be experimentally evolved for larger/smaller embryo size. The postdoc will be responsible
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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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
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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
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hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be