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entwickelt und betreibt das PTC Forschungsinfrastruktur für wissenschaftliche Arbeiten unter kontrollierten Umweltbedingungen und im Freiland. In der Greenhouses & Phytochambers Unit (GPU) betreuen
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, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13 position with an application deadline of August 14, 2026. About us Located in the prosperous capital of Bavaria and home
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pipelines for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods
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/index-en.html), fluid flow (NekRS, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU
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will be underpinned by EMBL's strong computing environment, including on-site GPU infrastructure, modern research IT platforms, and access to European AI compute ecosystems, and a key part of your
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 5 days ago
PhD or equivalent degree in the above-mentioned fields. What we offer State-of-the-art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A
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; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed
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application of machine-learning pipelines Strong knowledge of software frameworks for implementing GPU-accelerated computations, in particular JAX and PyTorch Knowledge of HPC environments and experience in
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 11 days ago
, interdisciplinary group. Our offer Computing The department operates Urania, a high-performance cluster with ~6,050 cores; Hypatia, a high-throughput cluster with ~12,000 cores; and two GPU servers
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state-of-the-art research infrastructure Access to modern computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions Research across the entire automotive