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geometallurgical modeling, mining environmental risk assessment, and the valorization of mining waste. The successful candidate will lead cutting-edge research in the characterization, modeling, and sustainable
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direct support to NASA’s Space Radiation Program. The selected candidate will conduct research focused on developing computer models to simulate the interaction of high charge (Z) and energy (HZE) ions
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such as wrinkles can occur, which cause parts to be scrapped. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and
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: Pediatric Surgery Postdoc Appointment Term: 2 Years Appointment Start Date: 02/01/2026 Group or Departmental Website: https://pediatricsurgery.stanford.edu/ (link is external) https://med.stanford.edu
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algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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. Incorporation of these species into polymer matrices to produce photoluminescent materials. Characterization of such materials and molecular species by nuclear magnetic resonance, infrared spectroscopy, and
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, or membranes. The ProMote project establishes an integrated material and process design workflow that – for the first time – incorporates rigorous molecular models for interfacial phenomena directly into the
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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researcher with expertise in vanadium and rare-earth element (REE) recovery, thermodynamic modeling, and materials characterization to join a cutting-edge research team. The project focuses on developing