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Field
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Education: A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is
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) Mathematics and Statistics (11 ) Other Non-Science & Engineering (4 ) Physics (16 ) Social and Behavioral Sciences (7 ) Age: Must be 18 years of age ORISE GO The ORISE GO mobile app helps you stay
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deficiency but potentially also PSC and MASLD), exploring risk factors and prognosis of diseases where histopathology is essential. The position requires a high level of statistical/mathematical competence
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to Science, Technology, Engineering, or Mathematics (STEM) conferred by the time of hire or by August 31, 2026. Must be a US Citizen or Permanent Resident as per sponsor's (National Institutes of Health
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Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago
About You: Essential Qualifications: A Master`s degree (or equivalent) and a PhD in Civil or Environmental Engineering, Hydrology, Geosciences, Physics or Mathematics Knowledge of hydrological and
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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evaluation, sensitivity analysis, and/or assessment of emerging technologies and manufacturing processes. Experience with life cycle assessment (LCA) is highly desirable. Experience with mathematical
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2 ) Social and Behavioral Sciences (29 ) Age: Must be 18 years of age Affirmation I
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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Mathematics, Statistics, Epidemiology (human or veterinary), Public Health, Physics, Computer Science), and a history of productivity. Experience with stochastic simulation and model fitting to temporal and