202 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Rutgers University in United States
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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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, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected
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experience working with 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
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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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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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partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical
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, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected
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, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional
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, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional