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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
benefit from the hardware and software resources of the lab experimental platform. The student will be supervisedthroughoutthePhD by Margot Vulliez and David Daney, researchers specializing in modeling and
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Kendrick’s laboratory at the University of Birmingham. Project Title: Designing Stable Battery Interphases: Multi-Scale Modelling of SEI/CEI Interphase Formation Mechanisms and Materials Properties Overview
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Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global
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of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
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22 Aug 2026 Job Information Organisation/Company University of Mainz Department Chemistry Research Field Chemistry » Organic chemistry Chemistry » Physical chemistry Engineering » Materials
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials
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instabilities to enhance actuation authority. The work will combine design, modelling, fabrication, and experiments to deliver design principles for instability-enabled electroactive morphing. The PhD will
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on the WMG pilot run-out table. The project builds a four-layer signal chain: (1) a composition-parameterised electromagnetic forward model valid across industrial steel grades at 500–950°C; (2) a multi
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30 Jul 2026 Job Information Organisation/Company Empa Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other Researcher Profile First Stage
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. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies