98 parallel-computing-numerical-methods "Multiple" Postdoctoral positions at Rutgers University
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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disease. Experience in data analysis and/or statistical methods is helpful. Equipment Utilized Biosafety cabinets, liquid nitrogen freezers, microscopes, centrifuges, gel electrophoresis, electroporators
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structures of HTCS proteins and/or domain constructs using appropriate methods such as X-ray crystallography and cryoEM. FLSA Exempt Grade Salary Details A minimum of $63,968 for calendar year appointments
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research projects and prepare manuscripts and grant applications. The Post Doctoral Associate will be supported in developing an independent line of research leveraging birth cohort data including multiple
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interaction methods like the split ubiquitin yeast-two hybrid method and SIM microscopy training will be needed. The individual will report directly to the laboratory Principle Investigator (PI). The position
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Development Program (SERDP) (https://serdp-estcp.mil/page/415323e5-04d5-4783-ad11-5201a59f456d ). The project is a collaboration between Rutgers, Temple, and CDM Smith. The initial appointment will be for 12
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constructs for biochemical and structural analyses. Determines structures of HTCS proteins and/or domain constructs using appropriate methods such as X-ray crystallography and cryoEM. Minimum Education and
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interaction methods like the split ubiquitin yeast-two hybrid method and SIM microscopy training will be needed. The individual will report directly to the laboratory Principle Investigator (PI). The position
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environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful