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Field
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position combines MLOps engineering, research software development and technical coordination across cloud, High-Performance Computing (HPC) and federated research environments. A key focus will be the
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Researcher to join the FNR AI-HPC 2025 BRIDGES project GenePPS, which investigates how machine learning can enable prediction of gene perturbation effects for drug discovery. The successful candidate
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toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design : Investigate
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toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in
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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and
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record data across UK Biobank, All of Us, CLSA, and the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments
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environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local GPU infrastructure. This Postdoc position is part of the
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, including genomic, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC
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and sample metadata with analysis status and results; automating reproducible R-, Python- and Java-based processing on local and HPC infrastructure; analysing DDA data using database-search and de