17 computer-science-programming-languages Fellowship research jobs at Harvard University
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Details Title Postdoctoral Fellow / Visiting Scholar (paid) Aga Khan Program for Islamic Architecture, Harvard University School Faculty of Arts and Sciences Department/Area Aga Khan Program for
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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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Details Title Postdoctoral Fellow / Visiting Scholar (unpaid), Aga Khan Program for Islamic Architecture, Harvard University School Faculty of Arts and Sciences Department/Area Aga Khan Program for
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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Details Title Postdoctoral Fellow in Biomedical Informatics (Cai Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description A Postdoctoral Research Fellow
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, in partnership with the Malawi Ministry of Health, Kamuzu University of Health Sciences, and other programme partners. Basic Qualifications Education Requirements A doctoral degree in infectious
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Program and will work closely with the staff of the Image Collection and Fieldwork Archives (ICFA) to process the Justin Kerr Collection, which consists of photographs of approximately 6,000 unique
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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to ICFA collections for scholars and the public. The Fellow will be fully integrated into the Library and Pre-Columbian Studies Program and will work closely with the staff of the Image Collection and
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of Stellenbosch, South Africa Medical Research Council, the Human Sciences Research Council and national HIV programme stakeholders. Design and simulation of innovative targeted and adaptive household surveys and