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the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements
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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control
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structures is essential. Experience with finite element, finite difference or discrete element modelling (e.g., FLAC3D, 3DEC, Abaqus, COMSOL or similar software) is considered an advantage. The successful
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. Sweden, one of Europe's largest metal producers, generates large volumes of such waste each year, which can create environmental problems due to its reactive nature. This project aims to develop innovative
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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rather than sent to landfill. Sweden, one of Europe's largest metal producers, generates large volumes of such waste each year, which can create environmental problems due to its reactive nature
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perspectives such as strategic leadership and the development of operational and maintenance methods and approaches. Read more about staff benefits and life as an SLU employee on https://www.slu.se/en/about-slu
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reactions. Materials chemistry, catalyst synthesis, characterization, or surface/interface science including electrolyte–electrode interactions and interfacial solvation. Experience with transition-metal
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frameworks and economic frameworks identified by partners in the overall project. The programmatic alignment theory, long-term strategic management, and elements of Nature-based Thinking (the organisational
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conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and areas of responsibility As a