126 computer-algorithm "https:" "FCiências" Postdoctoral research jobs at Rutgers University
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
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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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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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are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and the research literature, identifies
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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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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linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and architecture/design, the postdoctoral fellow will be intimately involved in all
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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