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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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-funded project that focuses on tracing the impact of atmospherically deposited per- and polyfluoroalkyl substances (PFAS) in the Great Lakes region. The project seeks to quantify PFAS deposition from
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isotopic compositions (δ13C and δ18O) of ostracod valves from sediment cores collected in European lakes. To synthesize existing data, interpret them and promote them in the form of scientific publications
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area President Department 01938 - HCI Mary Playdon Research Prog Location Campus City Salt Lake City, UT Type
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 20000 to 37900 Close Date 06/30/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The Department
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. THE PROJECT: Cancer treatment is difficult because patients respond differently to therapies and because therapy responses are challenging to predict beforehand. The candidate will develop computational models