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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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opportunity to engage in cutting-edge interdisciplinary research focused on Generative AI within the context of construction robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in
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of the lab.Applicants must have a recent Ph.D. in a relevant field, including but not limited to cement chemistry, material science, or structural materials and mechanics. Candidates with a strong commitment to
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), seeks a postdoctoral or more senior research scientist to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual
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countries leading national decarbonization modeling studies inspired by the NZA study. Currently, Princeton is collaborating on NZx studies at various stages of development in Brazil, China, India, and
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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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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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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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research levels in the areas of biochemistry, biophysics, cell biology, structural biology, microbiology, developmental biology, virology, genetics and cancer biology. The term of appointment is based