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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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. You will work closely with Professor Ali Abbas (School of Chemical and Biomolecular Engineering ) and Professor Gregor Verbic (School of Electrical and Computer Engineering ), in partnership with
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer
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coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds in applied and computational mathematics, biophysics, engineering, statistical inference, and related fields
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diseases. Exploring molecular mechanisms linking to cancer, obesity, liver, women diseases using a combination of biochemical and molecular techniques in cultured cells, xenografts, and engineered mouse
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PRIMARY DETAIL • Exceptional development opportunity working with world class researchers • Build your academic networks and access cutting-edge facilities and technology • Full-time, 2 year fixed
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from November 2025, or as
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interested in a research career at a Department of Energy national laboratory are encouraged to apply. BNL will select up to two Fellows during the selection process. Who should apply Successful candidates
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cryo-EM and/or cryo-ET workflows Experience in image processing and/or biostatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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in: Collecting images, video, and photography for the production of science communication materials; Direct contact with researchers for the collection and processing of information related