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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
mutual agreement) at the IT4Innovations national supercomputing centre is open to applicants. The Material Design group led by Dr. Dominik Legut within the Modeling of Nanotechnology Lab is looking
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, Mechanical Engineering, Materials Science and Engineering, Electrochemistry, Physics, Applied Mathematics, or a closely related field. Demonstrated experience in computational modeling and simulation
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/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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materials science. Ability and interest to work in a highly collaborative, interdisciplinary research environment. Preferred Qualifications Experience with graph neural networks, equivariant models
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diversity of platforms and building blocks. The foundry model is now becoming established where Process Design Kits (PDKs) allow fabless designers to create their own chips with custom functionality. While
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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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materials research in collaboration with industry leaders. Combine chemistry, mechanics, and computation in a multidisciplinary team. Access cutting-edge experimental and modeling facilities. Contribute
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SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania State University is
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, dendrite growth, side reactions, delamination, and related behavior in hard and soft materials. A strong emphasis will be placed on the integration of AI methods and agentic workflows into model development