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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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Department of Geosciences PRINCETON UNIVERSITY HARRY HESS FELLOWS PROGRAM The Department of Geosciences at Princeton University announces competition for the 2026-2027 Harry Hess Fellows Program
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competition for the 2026-2027 Harry Hess Fellows Program. This honorific postdoctoral fellowship program provides opportunities for outstanding geoscientists to work in the field of their choice. Research may
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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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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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postdoctoral research associate position, to start as early as September 2025. The Ferris group studies high-temperature reaction chemistry and particulate formation using optical diagnostic methods, with
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following areas: alternative cements (e.g., chemistry of calcium silicate and carbonate cements), physics of diffusion and carbonation, early-stage rheological characteristics, life cycle analysis, and design
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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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computational chemistry. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve