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Field
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. Skills: Proven programming skills in languages such as C, C++, Rust, Python, R, and Shell Deep knowledge of high-performance computing and enterprise storage architectures, including GPU-accelerated
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
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simulation methods, GPU-accelerated computations, several programming languages, and presenting results to wide technical and non-technical audiences. Additionally, the candidate will also develop theory and
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of spikes by a model Develop proxy apps representing the different processing stages of spiking network simulation code (targeting CPU and accelerators such as GPU or IPU) Systematic benchmarking of proxy
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is of advantage: Knowledge of parallel programming and HPC architectures, including accelerators (e.g., GPUs) Experience in modelling and simulation, ideally in the field of energy systems Experience
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engage with collaborators across Belgian universities. Profile Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming
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between Bonsai RX, animal tracking software, DAQs, and Unity), ROS-like systems, machine vision, GPU programming, shared memory, agent-based modeling, and/or game development. Physical Requirements
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of the University’s international profile in line with the University’s Strategic Plan, World Changers Together . Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 Postgraduate
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, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. Strong programming skills. Experience with machine learning frameworks such as PyTorch or TensorFlow