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students. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our Work Environment Entrepreneurial culture Affiliation with Texas A
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new theoretical approaches to help understand our empirical data. We are looking for a postdoctoral researcher with a background in criminology, science and technology studies (STS), technology law, or
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Location: Old Road Campus Research Building, Headington, Oxford, OX3 7DQ We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data
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experience; Informal enquiries may be addressed to Prof Daniel Eakins (daniel.eakins@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online