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may encompass elucidating microbial mechanisms that drive biodegradation of biomass-derived materials, using such mechanisms to inform the design of improved bio-derived materials, and engineering
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Mechanical Engineering or Materials Science and Engineering (required for Ph.D. applicants) Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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Description Job Summary: The Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental
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examines how the design of the physical environment can repair the natural environment, regenerate communities, and elevate the human spirit. Broad societal challenges are addressed through the lens
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and future research proposals. Qualifications Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date) Strong
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successful candidate should have the following qualifications: - Ph.D. in Biomedical Engineering, Medical Physics or a related field - Experience working with fetal, placental, and brain quantitative MRI data
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Position Details Position Information Recruitment/Posting Title Post Doc Associate Department Biomedical Engineering Salary Details The minimum of $65,000 Offer Information The final salary offer
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in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data science, Physics, Mathematics, Bioinformatics
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to early phase clinical trials. We collaborate with investigators intramurally (Duke Pharmacology & Cancer Biology, Cell Biology, Biomedical Engineering), and extramurally nationally and internationally