10 computer-algorithm-"https:"-"The-Institute-for-Data" positions at Rutgers University in United States
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- Health Informatics Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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access to a robust program of applied research and outreach hosted by the New Jersey Agricultural Experiment Station laboratories, farms, business incubators, and marine stations throughout the state
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ability to develop and lead a program of independent, NIH funded research. Candidates are expected to have an established federal grant portfolio that can be transferred to Rutgers. Successful applicant(s
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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to the investigation of protein design and protein language models using advanced computational approaches. This position will also be responsible for lab management, supporting day-to-day activities and participating
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public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and content recommendation systems shape civic
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science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support RAD Collaboratory research on national
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Investigator of the laboratory, performs computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages