73 internships-in-structural-engineering Postdoctoral positions at Princeton University
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Postdoctoral or more senior research positions are available at Princeton University in the laboratory of Professor Celeste Nelson in the Department of Chemical and Biological Engineering to study
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation
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, cell biology, structural biology, microbiology, developmental biology, virology, genetics and cancer biology. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year
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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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the relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects
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research problems *Ability to work independently and to adjust to rapidly changing needs of researchers Preferred Qualifications: *Experience with macroeconomic or structural modeling. Specific experience
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include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational models, programming, and quantitative methods
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience