114 electronics-engineering-"https:" "https:" "https:" "https:" positions at Rutgers University
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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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, accurate, and strategic guidance to the administration, faculty, and staff of SEBS/NJAES with regard to technology needs, changes, and opportunities. Under the Director’s leadership, SEBS/NJAES researchers
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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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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Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Certifications/Licenses Required Knowledge
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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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encompass a wide range of functions, including the operations and administration of summer and winter sessions, recruitment and enrollment technology solutions, marketing and communications, financial
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Certification as a Dental Assistant (CDA) through the Dental Assisting National Board. Possess a valid Dental Radiographic Technology License issued by the State of New Jersey, Department of Environmental
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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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