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Drug Free Workplace NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use
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limited to) the scope and responsibilities of the position, the candidates work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Mathematics, Applied Mathematics, and Statistics, or closely related
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experience Hardware experience, especially with silicon detectors, is desirable Good general knowledge of current high-energy physics and mathematical methods for physics applications is required Good
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and in cells, (iii) the development and evaluation of mathematical models that integrate binding kinetics into the prediction of drug activity, (iv) the use of biochemical, cellular, and/or in vivo
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other basis under the law. Applicants are encouraged to complete and submit the Equal Employment Identification form.
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. Ph.D. degree in one of the following areas: Biology, Pharmacology, Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, Computational Mathematics, or other disciplines with
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Engineering, Chemistry, Physics, Mathematics, or related field from an accredited institution of higher education, conferred by the start of employment Experience with programming in Python Preferred
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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