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focused on the discovery of crystalline inorganic materials that have fundamentally new structures. The successful candidate will join the ERC Advanced Grant project, MaterED (Materials Discovery: from
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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful
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the results. You will work in an interdisciplinary team with several other research groups in Germany and abroad. Your Profile Completed PhD studies in physics, materials science or similar Excellent knowledge
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Lawrence Berkeley National Laboratory is hiring a Postdoctoral Researcher – Machine Learning for Materials Science within the Molecular Foundry division. Molecular Foundry is a Department of Energy
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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for improving the safety of LIBs Reinforced polymer composites In-depth understanding of the fire behaviors of materials for LIBs The candidate will acquire hands-on experience with flame retardancy, and polymers
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(MRO), as well as interpretation of results and collaboration with CEMol teams and partner institutions. Mandatory requirements: PhD in Materials Science or related fields; proven experience in
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related to staff position within a Research Infrastructure? No Offer Description SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed
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/Qualifications Applicants should have: A PhD in Materials Engineering, Chemistry, Chemical Engineering, Geology, Environmental Sciences or a closely related discipline. Demonstrated experience in experimental
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Postdoctoral Research Associate in Electrochemical Engineering who has: A PhD degree (or near completion) in Chemical Engineering, Electrochemical Engineering, Mechanical Engineering, Materials Science