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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 2 hours ago
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At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems, the Chair of Highly-Parallel VLSI Systems and Neuro
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research in leading journals and conferences. Attract competitive research funding in Denmark and Europe. Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise
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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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parallel. 3. Real-Time Integration, Benchmarking, and Demonstration Implement and validate the reflex/habitual stack on the team's primary hardware (industrial robot arm, with stretch goals on quadruped and
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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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and training in GPU programming, data science applications, and scientific computing workflows for the SciNet advanced computing consortium. The incumbent supports users in designing, training, and
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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics