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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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recommended. Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a
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line with best practices and international standards Leverage VIB’s Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and
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services, which provide expert support in data management and high-performance computing, including optimized pipelines and large-scale GPU resources. A competitive salary and benefits package, with
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, which provide expert support in data management and high-performance computing, including optimized pipelines and large-scale GPU resources. A competitive salary and benefits package, with relocation
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(Dell Precision 7960 Tower with NVIDIA RTX 6000 GPU, 128GB RAM, 32-core CPU) for large-scale NLP and machine learning experiments. The planned start date is 15 November 2025 or as soon as possible after
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Engineering, or a related field Strong experience in building and optimizing AI systems using PyTorch, TensorFlow, or JAX Practical knowledge of NVIDIA GPU programming (CUDA) and experience with inference
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research on wireless sensing and communications, and a GPU Lab for training of advanced machine learning models. IDLab is both part of the University of Antwerp and the research centre imec. The University
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computing/GPU clusters and the robot labs. You will work towards a PhD degree. Engaging with scientific and technical research at PhD level, publishing and engaging with colleagues, both nationally and