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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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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer
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