113 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Duke University
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its commitment to nurturing the next generation of scientific leaders. Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Duke is an Equal
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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and repeat by other lab members. · Update lab members on new developments in commercial reagents and techniques. · Compile and document results, maintain lab notes, and assist in writing reports and
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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., D.V.M.) This position is Onsite. The work is performed on-site or at a designated assignment location. Be Bold. Help to operationalize NeoPBl/NeoSelect technology for the Klemen Lab. Assist in development
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activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
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skill-based spaces. Provide triage, crisis care, and clinical consultation to Duke students presenting with acute distress. Assess, deescalate, support, and make appropriate treatment referrals. Develop
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis