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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New
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the Department of Biology external link . The department coordinates the teaching of the Bachelor’s programme in Biology, as well as Master’s programmes and PhD courses that are offered through the Graduate School
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in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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modeling. Contribute to and drive forward the project’s work plan and study goals. Ideal Candidates: The ideal candidate will hold a Ph.D. in Biology, Biochemistry, Epidemiology, Genetics, Genomics
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, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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Associate in Biochemistry to join an ambitious research programme focused on the development of new treatments for tuberculosis. This position forms part of the recently funded Oxford TB Grand Challenge
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Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance. The position is based at the INEOS Oxford Institute for AMR Research and sits within the Schofield Group, under