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. Cross-Disciplinary Fellowships (CDF) are for applicants with a PhD from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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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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Location This position is located in Boston with travel to research locations as needed. Global Health and Social Medicine Learn about the HMS Department of Global Health and Social Medicine at this website
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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in
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including publication charges, related conference travel, and computing resources will be available. Please direct any questions on the application process to Nicole Grenier: [email protected]
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://www.bhi.fas.harvard.edu ; information about BHEX may be found at https://www.blackholeexplorer.org/ . Please direct any questions about the application process to Nicole Grenier: [email protected] . Basic
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will participate in grant and fellowship review, mentor graduate students and help collaborate on other events and projects at the Institute. The fellow may be invited to teach a Harvard class during the
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at the Institute. The fellow may be invited to teach a Harvard class during the course of their appointment. Basic Qualifications Candidates must have received their PhD no later than February 2027, and must have