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will carry out research in an interdisciplinary team with experts in materials science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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conditions and/or to assess the performance under irradiation of diverse fusion materials candidates. Key responsibilities • Fabrication of coatings (primarily sputtering-based deposition) and process
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: “Transdisciplinary design Of
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Laboratory located in Ames, Iowa, on the campus of Iowa State University. We are dedicated to translating foundational science through applied research to create technological innovations. We create materials
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
employment Expected start of employment: 1. 5. 2026 or as agreed We require: Ph.D. (or soon be defended) in physics, chemistry, materials science, or a related field, good knowledge of solid-state physics
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2 Apr 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
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) – String Theory, Topological Computation, Topological Materials, Quantum Geometry Prof. Moon Jip Park (Hanyang University) – Condensed Matter Physics, Topology, Non-Hermitian Systems, Statistical Physics
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. The project involves electrocatalysis, photocatalysis, nanotechnology, material science, organic synthesis, analytical and physical chemistry The successful candidate will be eligible for all programs
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, computational condensed matter physics, or a related discipline, and relevant experience in the following: Expertise in RIXS theoretical modeling and computational analysis of a wide range of quantum materials