121 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs at Rutgers University in United States
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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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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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, 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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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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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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, 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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generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/22084074/postdoctoral-associate Return to Search Results
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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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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