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equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Minimum Education: Ph.D. or equivalent doctorate within
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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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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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molecular biology, quantitative genetics, mathematical modeling, or statistical genomics is required. Only persons currently legally able to work in the US will be considered. Preferences: Preference may be
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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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mechanical/aerospace/industrial engineering, applied mathematics, chemical engineering, or a related discipline earned no more than 3 years ago is required. Experience in modeling and simulation of three
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, mathematics, atmospheric science, ecology, engineering). Proficient programming skills in at least one major scientific computing language (e.g. Fortran, Python, Julia, C++, etc.). Strong quantitative and data