96 phd-in-computational-mechanics-"Prof"-"Prof" Fellowship positions at Harvard University
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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possibility of renewal based on performance. The appointment will be funded by non-federal sources. Basic Qualifications Candidates must have a PhD with background in human neuroimaging or related field with
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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of renewal dependent upon job performance and continued availability of funding. Basic Qualifications PhD in Psychology or related field required by the appointment start date Additional Qualifications
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Candidate must hold a PhD in Cell biology or Neuroscience or a related field or have completed all requirements for the PhD by the anticipated start date.. Additional Qualifications Ideal applicants will
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that converts your CGPA to a 4.0 scale. This can be done using a GPA conversion tool, such as Scholaro’s GPA Calculator , or by submitting a credential evaluation report from a service such as WES or ECE , which
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the areas of immunology, microbiome, and diet. Basic Qualifications Candidates should hold a PhD in the relevant areas or be nearing their PhD defense date. Additional Qualifications The position requires
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty