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‑on experience in AI / machine learning development (excluding PhD); proven expertise in machine learning and generative AI methodologies (in the range of: LLMs, RAG systems, agentic AI, feature engineering, model
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy This PhD offers a unique opportunity to work with a dynamic, fast-growing battery manufacturer. Solid-state
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the following areas is considered a merit: nuclear fuel, fuel-performance modelling, reactor physics or nuclear engineering, numerical modelling of heat transfer, material behaviour or solid mechanics
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17 Jul 2026 Job Information Organisation/Company Jožef Stefan Institute Department Reactor Engineering Division Research Field Engineering » Materials engineering Engineering » Mechanical
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implementation of your research. Limited teaching responsibilities are also included in the position. As a PhD candidate, you will join the Railway Engineering Section within the Department of Engineering
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and implementation of your research. Limited teaching responsibilities are also included in the position. As a PhD candidate, you will join the Railway Engineering Section within the Department
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SIMaP (Science and Engineering of Materials and Processes – UMR 5266), a
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sustainability. This PhD project aims to develop new ionic conducting materials as next-generation membrane alternatives for fuel cell and electrolyser applications. Ceramic ion conductors present a promising
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: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired basic research
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods