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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department Engn- Ctr Adv Infrastructure Salary Details Min. Salary 63,968 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s...
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Minimum Education and Experience: Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely
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person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT: Office/Clinical/Laboratory environment
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bio-statistical tools, with effective communication skills oral and written. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word
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Information Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Rutgers also offers a benefit program to
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equipment, computers, computer monitors, and boxes. He/She should communicate his/her research plans and findings to the team verbally and in writing. Special Conditions Posting Details Posting Number
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in the acquisition and analysis of data, using bioinformatics, computational, and systems biology tools. Supports PI’s plans, developments, and implementations of laboratory and research studies
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, molecular biology, and/or computational analyses. The postdoc will have the opportunity to guide the research of an undergraduate research assistant, if desired. Mentorship is a core mission of the Oldenburg
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Qualifications Minimum Education and Experience PhD in genetics/molecular/cell biology field. • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and
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span a broad range of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational