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and in implementation. Is Your profile described below? Are you our future colleague? Apply now! We are looking for candidates with: • A pertinent master’s degree in computational materials science or a
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. Quantum Science & Technology Study of the fundamental properties and applications arising from the quantum nature of matter, with a focus on communications, computing, sensing, materials, and chemistry
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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well-organized, initiative and motivated candidate with a Master degree in Inorganic Chemistry, Materials Science or related disciplines. The candidate must have good communication skills and good
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components are designed and produced. This PhD project focuses on Molten Metal Jetting (MMJ), an emerging metal 3D printing technology that enables the precise fabrication of multi-material metallic structures
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areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment
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, chemistry, materials engineering, or a related field. Required documents: Motivation letter describing research interests and career objectives. Curriculum vitae (CV). Copy of the Master’s degree diploma
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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