130 machine-learning-postdoc-"https:"-"Naturalis" Postdoctoral positions at Rutgers University
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equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and
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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in
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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
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machine, qPCR machine, water maze, shuttle box, optogenetics Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https
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undergraduates in scientific research projects. ESSENTIAL DUTIES & RESPONSIBILITIES INCLUDE: 1) Computer simulations of protein structure and computational protein design of small peptides and proteins. 2
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exploring novel immune cells and the mechanisms of human health and disease. In addition, the Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences
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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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Abilities Strong quantitative and programming skills (e.g., MATLAB, Python, R). Solid background in signal processing, statistics, or computational neuroscience. Excellent written, verbal and computer skills
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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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, quantitative polymerase chain reactions, next-generation sequencing, and related, advanced molecular biology techniques. The person will instruct staff and students, participate in planning experiments, and