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lab is focused on revealing the molecular and environmental rules governing cell fate decisions in development and cell differentiation. We develop technologies to generate statistical data sets
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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studies how cancer and healthy cells respond to irradiation and DNA‑damaging drugs, using quantitative live‑cell imaging at the single‑cell level. We welcome applications from recent PhD graduates
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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Qualifications: Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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: 14564 School: Faculty of Arts and Sciences Position Description: The Gredler lab invites applications for a Postdoctoral Fellow in developmental cell biology. Candidates interested in embryonic