83 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "U.S" "U.S" "P" Postdoctoral positions at Rutgers University
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neuroscience, or neural decoding. Experience with multimodal data integration (EEG + imaging/behavior). Track record of peer-reviewed publications. Interest in developing an independent research program
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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is also essential. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Should have competence in basic cell
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-Medina’s Neuroinformatics for Personalized Medicine lab in McGill University, Canada. Applicants must have experience working with computational modeling and multi-omics analysis in neurodegeneration. Ideal
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capabilities necessary to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers
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. Proficiency in written and oral English and computer literacy with Excel, Word, and PowerPoint is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience and willingness to handle
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of knowledge to impact policy and practice. The Institute is home to 8 interdisciplinary centers. Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement
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, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
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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