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Field
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA, OpenCL
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model in collaboration with partner institutions such as the German Climate Computing Center (DKRZ) and German Weather Service (DWD), including GPU porting. They will perform production runs of ICON and
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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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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. 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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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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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 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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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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-based CPUs and accelerators such as NVIDIA or AMD GPUs. ● Experience working in an academic research computing center or large-scale HPC environment. ● Experience with GPU computing and