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Position Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics
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Details Posted: 04-Jun-24 Location: Boston, Massachusetts Type: Full-time Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 5303762 Zelevinsky Postdoctoral Fellow
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, population ecology, spatial ecology, mathematical biology, or other similar fields. Demonstrated experience building and analyzing mathematical and statistical models aimed at answering biological, ecological
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
in signal processing, bioengineering, physics, computer science, or applied mathematics. Join our dynamic team and contribute to groundbreaking research in a cutting-edge environment. Ready to take
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in other adjacent technical areas such as physics or mathematics will also be considered. Individuals with a demonstrated track record in scientific research, which can be evidenced through
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. Necessary skills include knowledge of post-processing software (e.g., Matlab, R, IDL) and/or statistical/mathematical programming languages (e.g., R, Matlab). Desirable skills include working knowledge
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, collaborative science, and high-quality research. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Doctoral degree in mathematics, statistics, computer science
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
*Applications will be reviewed on a rolling-basis. CDER Office and Location: A research opportunity is available within the Food and Drug Administration (FDA), Office of New Drugs (OND)/ Office of Cardiology, Hematology, Endocrinology and Nephrology (OCHEN) in The Center for Drug Evaluation and...
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animals. Preferred Qualifications Knowledge of mathematical modeling via optimization with conventional and machine learning approaches. Experience with machine learning algorithms. Demonstrated ability
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to the early-life environment. The lab is part of the Department of Integrative Biology and the Department of Computational Mathematics, Science, and Engineering. We expect that lab members will contribute