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Field
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and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and language) where staff and students can see, adjust and interrogate
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications is open for 2 Research Grants within the scope
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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to introduce state-of-the-art AI tools, accelerating technology transfer and hands-on learning opportunities. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Job Description
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CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding with deep learning libraries such as Pytorch/JAX is essential. Applicants must hold a PhD in computer
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part of a project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a
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foundations. The Centre is committed to working with AI systems openly and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and
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Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using GitLab, Travis, CircleCI, or similar tools. Experience with software
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Sciences of the University of Strasbourg. Close collaborations with the various project partners are also planned throughout the PhD. A dedicated computer equipped with high-performance GPU cards will be
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scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure. Establish technical standards, architectures, and engineering