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, transparent, and responsible use of AI in line with best practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU
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large-scale GPU resources, to scale ML development and deployment. Your profile PhD in machine learning, computer science, computational biology, statistics, or a related field.Knowledge of modern
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biomedical imaging) is an advantage.• Comfortable working on Linux and HPC/GPU systems, with version control (git) and reproducible workflows (conda or containers, Snakemake or Nextflow).• Able to work
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version control (Git) and DevOps tools (Docker, Kubernetes, CI/CD pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a
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of the CECI clusters cover a range of facilities including very fast CPUs and GPU accelerators. We also have access to supercomputer facilities of the regional Tier-1 (Zenobe) and projects can be
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the CECI consortium. The capabilities of the CECI clusters cover a range of facilities including very fast CPUs and GPU accelerators. We also have access to supercomputer facilities of the regional