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on high-performance computing (HPC) systems. Closely Collaborate with Clinicians and Wet-Lab Scientists on the experimental design and collect data for computational modelling and analysis. Engage Actively
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analyzing single-cell and spatial omics data (e.g., scRNA-seq, scATAC-seq, Visium, Xenium, scMultiome, long-read data) Fluent in working with Linux/Unix systems and HPC environments (e.g., Slurm) Strong
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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
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experience in AI and HPC from outside of academia. What we expect from you Extensive knowledge of programming and software development Good communication and team working skills Self-directed and independent
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) or reactive transport simulation codes (e.g., OpenFOAM, StarCCM+, PFlotran, TOUGHREACT, PHT3D etc.). Good programming skills in C/C++, Fortran, or Python. Knowledge and experience with HPCs. The work will be
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experience in AI and HPC from outside of academia. What we expect from you Extensive knowledge of programming and software development Good communication and team working skills Self-directed and independent