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at FIMM, led by Simone Rubinacci, develops methods for large-scale human genomics and statistical genetics. Our work spans algorithm development, cloud computing, and population-scale sequencing
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
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