117 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions at Rutgers University in United States
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, Health Care Policy and Aging Research, a unit within RBHS, is a hub for multidisciplinary and translational research focused on improving population health. Since its 1985 founding by Dr. David Mechanic
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, behavioral, and lifestyle factors that influence cognitive aging and Alzheimer’s disease risk. We have an extensive community engagement program in the greater Newark area that recruits older African Americans
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Institute for Ethical Leadership (IEL) at Rutgers Business School – Newark and New Brunswick invites applications for a
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with the highest commitment to excellence in scholarship. Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/270348 Campus Rutgers
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the lab of Dr. Gliniak in the Department of Nutritional Sciences. The ideal Candidate will have strong communication skills, a publication record consistent with career level, and an interest in
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programs Posting Summary There is a postdoc position available in Dr. Alison Bernstein’s lab in the Department of Pharmacology and Toxicology, Environmental and Occupational Health Sciences Institute (EOHSI
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications A background
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descriptions of current projects, please visit our lab website: https://sites.rutgers.edu/tina-liu-lab/ Under the direction of the Principal Investigator (PI), Dr. Tina Liu, the Postdoctoral Associate will
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele