196 machine-learning-"https:" "https:" "https:" "UCL" "UCL" research jobs at Rutgers University
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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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this position. WORK ENVIRONMENT: The candidate will work primarily in Newark, NJ and/or New Brunswick, NJ with some remote flexibility. Candidate will have access to a standard computer, phone, and internet
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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Prior research experience preferred. Basic
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey has opening for two (2) Postdoctoral Associates
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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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research animals is desirable but not necessary. The applicant should also be able to operate standard laboratory equipment such as centrifuges, culture hoods, incubators, PCR machines, shaking incubators
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Knowledge, Skills, and Abilities Computer literate, with comfort navigating file systems, performing basic troubleshooting, and learning command-line workflows (PowerShell and/or Python). Ability to work both
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fluid dynamics. The successful candidate will be expected to work on all or a subset of the above topics, be proficient in working with large data-sets (observational or numerical), machine learning, and
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary We have immediate availability for postdoctoral associate researchers in experimental particle physics on the CMS
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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