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Field
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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scanning, virtual reality and on-demand wide-area surveillance video feeds. In addition Durham University hosts the UK regional supercomputer Bede (128 NVIDIA V100 + 3 NVIDIA Hopper GPUs) in
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
compilers, numerical libraries, parallel programming frameworks) Operate software testing infrastructure (continuous integration services) Support the adoption of good software engineering practices across
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, NIDS, etc.) Experience training AI models on high-performance GPU clusters. As one of Montreal's Top Employers, here is what we offer: Competitive benefits package (Health, Dental, Life Insurance
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available to a University in the world. It includes 49,920 AMD cores for traditional computing and 608 NVIDIA GPUs for artificial intelligence analyses. The University of Florida Genetics Institute is an
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance
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to hire pure mathematicians that can demonstrate a strong alignment to our growing Joint Mathematics and Computing undergraduate programme. Imperial College London seeks several outstanding academics
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
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grant proposals. Design, deliver, and maintain training programs and workshops that enable researchers and academic programs to optimally leverage high-performance and cloud computing for cancer research