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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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to pursue a PhD later in economics or finance, or perhaps in computer science. “Macro-finance-behavioral” track: you need to be analytically very strong, and good at programming (e.g. Python). Topics will
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Details Title Research Fellow in Multidrug-Resistant TB Epidemiology School Harvard Medical School Department/Area Tuberculosis Epidemiology Position Description Applications from PhD or other
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an outstanding academic record and strong communication skills, enjoy working in an interdisciplinary team, and may be interested in postgraduate training (MD PhD, PhD, or MD). They will benefit from 1:1
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knowledge of Python is strongly preferred. The position is an especially good match for candidates contemplating application to a PhD program in economics or another quantitative field. Additional
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analysis (R programming and analysis), and flow cytometry. A PhD, five references, CV and a writing sample are required. Additional Qualifications Some toxicology expertise would be preferred. Special
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website and social media. May be a lecturer in Government or History (dependent lectureship assumed under salary of directorship). May include the supervision of MA theses. Only candidates with a PhD will
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. Basic Qualifications Bachelor’s degree or equivalent work experience required Minimum of 5 years’ relevant work experience Additional Qualifications and Skills MA/MFA/PhD strongly preferred. Experience
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of the Graduate Science Education Series (GSES), https://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or
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degree in a relevant field (completed PhD or ThD by the time of appointment, not more than five years from the degree) (2) A research project that fits within the initiative (3) Evidence of publications