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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
with turbulence, flow control, scientific computing, or data-driven modeling. Experience with GPU computing and supercomputers is desirable. Good English skills. Additional information The position is
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frameworks (e.g., PyTorch). Familiarity with GPU-accelerated environments, virtualization tools, and prototyping using real testbeds (e.g., SDR). We expect a diploma in computer science or telecommunication
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bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs. Where
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, Vehicular Communications Experience in system modeling and simulation of communication systems Strong programming skills in MATLAB are required; experience with Python, C/C++, or GPU-based computing is an
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adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary
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using Cinema 4D within a motion graphics or interactive media pipeline. Experience with GPU-based rendering tools such as Octane Renderer for creating high-quality visualizations, motion graphics, or 3D
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for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models. The subject works with
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infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. You'll also
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. Preferred Qualifications : * Experience in programming on modern computing platforms including x86 and ARM-based CPUs and accelerators such as NVIDIA or AMD GPUs. * Experience working in an academic research
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simulation software related to radiation transport and computational fluid dynamics for multithreaded CPU and GPU computing platforms. Conduct performance profiling of existing scientific software, identify