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Field
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ASIC implementation. You will carry out system modelling, design novel parallel processor architectures at the RTL level (using Verilog/SystemVerilog or VHDL), and drive the hardware-software co-design
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML, DL, LLMs
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quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar clouds will be carried out with
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), conducts fundamental and applied research in micro- and optoelectronics
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(e.g. weather, hydrology). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative
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the following areas is preferred, and an exceptionally strong candidate in a single area is also encouraged to apply. Relevant areas include: Parallel and distributed graph and or ML algorithms
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, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam dynamics models and helping to define tolerances for overall design
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM