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major initiative at the interface between cancer, immunity, and metabolism (Ludwig Princeton Branch). We welcome applications from candidates using biological, chemical, physical, engineering, and/or
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within the Office of the Dean for Research as well as in the Office of Information Technology at Princeton University and external vendor teams, to maintain, troubleshoot, and enhance technology solutions
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: 276907508 Department Engineering & Applied Science Category Research and Laboratory Job Type Full-Time Overview The School of Engineering and Applied Science operates a Machine Shop to support the research
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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or higher in neuroscience, biology, engineering or a related field is required. - 2+ years experience in a wet lab research setting. Preferred Qualifications: - Familiarity with Matlab, Python or R for data
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-2 years experience from PhD, MD, or clinical training). The program centers on cancer metabolism, broadly defined to include technology development, computation, biological studies, drug development
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. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense/viva date) or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely
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The School of Engineering and Applied Science operates a Machine Shop to support the research needs of the faculty, staff, researchers, and students of the school. The Machinist will produce complex
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis