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candidate with a strong background in robotics, computer vision, or machine learning who is passionate about developing intelligent robotic systems and translating scientific concepts into working
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develops digital twins of embryonic development and reproductive health using image-based mechanistic modelling and simulation. Project background Digital twins of living systems are a hard computational
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process in labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation
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, and simulation for embodied AI. We are looking for exceptional candidates in any of them. This round we especially want two profiles: people who design and build the robots, and people who make
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M.Sc. in computational chemistry, chemistry, biochemistry, or physics. Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly
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the highest socioeconomic burden among osteoporotic fractures, yet they remain assessed largely from bone fragility alone, without properly accounting for fall biomechanics. Our group's simulation