926 systems-science "https:" "https:" "https:" "https:" "RTU Riga Technical University" positions at Harvard University
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: Cambridge, Massachusetts 02138, United States of America Subject Areas: Statistics / Machine Learning , Data Science , Statistics Appl Deadline: none (posted 2026/03/16 04:00 AM UnitedKingdomTime) Position
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Details Title Fellow in Biomechanical Evaluation of Wearable Technology School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description
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at Harvard Medical School in Boston Massachusetts. The work of the Kennedy lab is focused on using genetic and molecular biology approaches to explore RNA biology and investigate the role of RNA in gene
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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current with training requirements related to human subject's research and data security. This job is ideal for someone with enthusiasm for empirical research and the ability and interest to learn new
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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Skip to main content arrow_circle_down Office of Research Administration Faculty of Arts and Sciences menu close Menu Search Search search Office of Research Administration Faculty of Arts and
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied
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Arnold Arboretum of Harvard University: Katharine H. Putnam Fellowship in Plant Science Eligibility: Scientists with a Ph.D. in plant biology, evolution, plant genetics, plant ecology, horticulture
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in