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Field
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bioinformatic pipelines. The analyses will be carried out on GPUs and part will consist of data processing and visualization in order to facilitate interpretation and, in some instances, clinical reporting
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software development with GPUs. Experience with visualization of large data sets. An understanding of how to make results easily available using common web interfaces. Required Documents Resume Cover Letter
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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 (HPC) systems, including CPU, GPU, storage, file systems, networking, visualization, job schedulers, and scientific applications Experience leading the implementation and execution of research
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(CNNs, vision transformers), multi-GPU multi-node training, and federated learning strongly encouraged. Experience working with cloud platforms. Experience with high performance computing. Publication
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). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network
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. Computational Infrastructure: Deploy and maintain high-performance computing environments (GPU clusters, cloud services) for large-scale image-text experimentation. Data Engineering: Establish workflows
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Expanse machine (a five-year ~$25-million project supported by the NSF and enables tens of thousands of users to use HPC, HTC and GPUs), Voyager machine (a five-year, ~$12-million project supported by
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computing systems, GPU programming, machine learning, and/or full-stack. Experience teaching best practices in software engineering. Ability to work with multi-disciplinary teams and to interact cross
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as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and