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Field
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learning frameworks such as PyTorch, JAX or TensorFlow, alongside experience with large-scale model training, GPU/HPC/cloud computing environments, Linux, version control and reproducible research workflows
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author
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cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing environments Monday through Firday
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, workflow management (Snakemake), or HPC environments is a plus. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and teamwork skills, with ability
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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background in cancer biology and genomics research. · Experience working with high-performance computing (HPC) environments and version control systems such as Git. · Excellent written and verbal
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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refereed journals* Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines (desirable) Minimum