229 postdoc-computational-biomedical-engineering Postdoctoral research jobs at Princeton University
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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expertise and proficiency with net-zero systems thinking, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering
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to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health.We seek applicants to join any of the several
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: 278915255 Position: Postdoctoral Research Associate Description: The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the Princeton Materials Institute at Princeton
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are sought. Applicants will have an engineering PhD, or equivalent degree and experience in a relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed
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ionics, materials characterization and/or electrochemical engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML