178 computer-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Rutgers University
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development of T cell therapy for cancer, including tumor-infiltrating lymphocytes and gene-engineered T cells. Active areas of research include T cell receptor discovery, membrane-tethered cytokine
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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control, and research integrity, while supervising a team of program professionals. Ensures institutional compliance with federal, state, and university regulations, including but not limited to NSPM-33
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: 255863 Minimum Education and Experience: A doctoral degree in cognitive psychology, cognitive science, computer science/engineering, language sciences, or a related field is required. The applicant should
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, databases, academic applications, educational delivery tools, and computer technology in general. Must possess strong leadership and management skills, have demonstrated experience managing technology
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of Innovation, Technology, and Knowledge, Entrepreneurship, Organizational Theory, Ethics, and Organizational Behavior. Our department also works with a talented group of Ph.D. students and hosts visiting
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discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives. Connections working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs
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in Computer Science or a closely related field at Rutgers University. A Bachelor’s degree in Computer Science, Computer Engineering, or an equivalent discipline is required. Coursework or demonstrated
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completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy or regulatory economics, public informatics, or a related field prior to being hired
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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst