208 machine-learning "https:" "https:" "https:" "UCL" research jobs at Rutgers University
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insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Per Diem Working Hours
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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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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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, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information
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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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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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Abilities Must have effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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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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, 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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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