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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
materials science or a related discipline • Some knowledge of the theory of materials and experience with computational methods in materials science • Some experience with machine-learning interatomic
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Research Framework Programme? Not funded by a EU programme Reference Number PT23/00091 Is the Job related to staff position within a Research Infrastructure? No Offer Description a { text-decoration: none
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: Molecular Thermodynamics Modeling for the Energy Transition The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational
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understood, even though phytochemistry strongly shapes insect communities. Research on artificial daylight shows that light color can influence plant chemistry and interactions across trophic levels
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of Physical Chemistry of the Czech Academy of Sciences. The program covers computational chemistry, quantum chemistry, and molecular modeling, focusing on biomacromolecules and complex molecular systems
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The Faculty of Engineering and Science, Department of Built Environment, Aalborg University, Denmark, a PhD stipend is available within the doctoral programme Civil Engineering in Structural
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regularly present research findings Skills in materials chemistry, actinide chemistry, theoretical chemistry, high-performance computing, and programming are beneficial. We offer: We offer a position with a
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This project will develop cutting-edge tools and methodologies to support the safe, efficient, and scalable manufacture of materials critical to the UK and European security, through the use of
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11 Dec 2025 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Physics Engineering » Materials engineering Researcher Profile First Stage Researcher
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at the Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, within a government-supported doctoral program. The successful candidate will join a multidisciplinary research team