219 parallel-computing-numerical-methods Postdoctoral research jobs at Princeton University
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: 278255388 Position: Postdoctoral Research Associate Description: The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related
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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
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focus on innovation, entrepreneurship, and technology and society, is developing an emerging research and teaching program in design that embraces Princeton's commitment to the betterment of humanity
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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, working under 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
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computer science, economics, law, political science, philosophy, and related fields. The DeCenter is a newly established interdisciplinary hub at Princeton University devoted to exploring the decentralization
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University invites applications for postdoctoral positions. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing
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Endowed by the Starr Foundation, the CV Starr Fellowship program supports postdoctoral positions for neuroscientists with exceptional skills and potential. The CV Starr Fellows Program encourages
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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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revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation