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, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills to work effectively with group members and collaborators. Good oral and written communication skills in
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computing (HPC) for large-scale data analysis. Experience with seismic tomography, full-waveform inversion, or other advanced imaging techniques. Familiarity with modern data processing workflows and software
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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, numerical modelling, and use of HPC environments Proven ability to manage and analyse large-scale datasets from simulations or experiments Solid background in theoretical physics, with at least foundational