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to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed
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treatment or vaccine options. More information about the lab’s research can be found at https://abrahamlab.med.harvard.edu/ . This position is especially well suited for candidates seeking 2–3 years
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, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal
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world-class research institution supported by the Howard Hughes Medical Institute. For more information about Open Chemistry and the Lavis Lab, please visit https://www.janelia.org/lab/lavis-lab About the
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data
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as part of a team. Opportunities for professional and educational development and growth, including assistance with preparing postdoctoral fellowships, job applications, and interviews. The opportunity
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high spatiotemporal precision. By understanding how moving bodies and perception are integrated, we can develop more effective clinical interventions and inspire the next revolution in AI - one