264 systems-science-"https:" "https:" "https:" "https:" "I.E" "UCL" Fellowship positions at Harvard University
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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: 16141 School: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Aizenberg Lab at Harvard University is seeking a postdoctoral researcher to join a
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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Details Title Postdoctoral Fellow in Biomechanical Evaluation of Wearable Technology School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position
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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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. 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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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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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied