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human genetics. You will have substantial scientific and technical ownership, with the opportunity to help shape the group’s technical AI architecture while leading and contributing to high-impact
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genomic or molecular datasets Background in Bayesian statistics, causal inference, or probabilistic modelling. Familiarity with modern AI architectures and foundation models. Organizational and social
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, with flexibility to expand into other device architectures. The successful candidate will lead experimental efforts in device fabrication and characterization, including integration of protein nanowires
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