76 phd-in-architecture-and-built-environment-"Prof" Fellowship positions at Harvard University
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investigates cell behaviors in live embryos to address fundamental questions about how tissues are built Basic Qualifications Candidates should hold a PhD in the relevant areas or be nearing their PhD defense
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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directly from the authors of the letters to Juan Perez-Mercader. Applications will be reviewed on a rolling basis and notifications of awards will begin by December 15, 2024. Contact Information Prof. Juan
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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Qualifications A PhD in biology, chemical biology, ecology, environmental science, conservation biology, or a related field by the time of appointment. Strong experience in marine biology, evolution, development
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developmental, stem cell, neuro, computational biology, genetics or genomics. Basic Qualifications: The candidate should have a PhD or plan to defend their PhD in the coming year. Contact Information: Professor
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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 solving tough problems
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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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are able to provide letters of recommendation. Contact Information Prof. Zhigang Suo 309 Pierce Hall 29 Oxford St Cambridge MA 02138 Contact Email sazinheira@seas.harvard.edu Equal Opportunity Employer
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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional