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Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications · PhD or equivalent in engineering, building science or related field Additional Qualifications · Strong
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detection and intervention promise to improve outcomes. We welcome applications from PhD and MD PhD graduates interested in this problem, particularly those who may bring a new expertise or perspective
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong
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the possibility of renewal for two additional years. Applicants must have fulfilled all the requirements for the PhD by the time of application. The Postdoctoral Fellow reports to the Executive Director. The
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes
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of immune cell niches. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in
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. Additional Qualifications Special Instructions Required documents: CV, Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new research directions or projects
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of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and computational research skills in one of the following areas: Economics: PhD in Economics or Strategy
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming