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internal and external meetings Contribute to recommendations on next steps for experiments while also taking an active role overall in program strategy and alignment with the sponsor’s contractual
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above in multiple fields, including (but of course not limited to): ● Fundamental physics of black holes and the information paradox. ● Mathematical stability of spacetime and gravitational memory. ● GR
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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; and high-throughput sequencing. Optimize and execute molecular-biological reactions such as PCR and DNA extraction. Independently troubleshoot and optimize techniques and technologies. Maintain detailed
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School of Public Health, Dr. Fran Grodstein, Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital) to explore key research questions, generate multiple publications, and help write
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School of Public Health, Dr. Fran Grodstein, Channing Laboratory, Harvard Medical School and Brigham and Women’s Hospital) to explore key research questions, generate multiple publications, and help write
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gain experience in pooled screening techniques including library cloning, CRISPR screening, protein purification, proteomics and sequencing. We will use Python and Bash scripting to analyze and visualize
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decisions on next steps. Collaborate closely with a multidisciplinary team (biologists, engineers, clinicians) to align chip studies with translational goals. Maintain a high level of expertise in lung