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Field
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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-track faculty position at the rank of Assistant Professor beginning in August 2026. Areas of particular interest include computer architecture, embedded systems, GPU architectures, SOC and ASIC design
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learning frameworks such as PyTorch, JAX, or TensorFlow. Experience with C++ and GPU programming. A strong growth mindset, attention to scientific rigor, and the ability to thrive in an interdisciplinary
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements
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animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements
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(R1) Country Sweden Application Deadline 3 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not
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Imperial College Healthcare NHS Trust. The LMS houses a CPU and GPU cluster in addition to making use of wider HPC provisions available from Imperial College. The Bioinformatics Facility works closely with
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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programming language (Fortran or C++) The ability to interface with, and potentially collaborate with, NCCS users on the users’ software Excellent interpersonal skills, oral and written communication skills