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experimental and computational / theory research. Your background and expertise A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide
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in topological materials and eagerness to work on tough experimental challenges. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on 2D materials and quantum
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and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience
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superconducting materials and eagerness to work on tough experimental challenges at low temperatures. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on silicon materials, 2D
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eagerness to work on tough experimental challenges at low temperatures. We expect the candidates to have: PhD degree in physics or in a nearby field Experience on silicon materials, 2D electron gases and
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will include: Your primary task will be to carry out research on the electrocatalytic upcycling of plastic waste. This involves: (a) Developing novel electrocatalysts based on multi-metallic structures
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degree in Mathematics or a related field, and a strong research background in mathematics. We particularly value experience in the following topics: vertex operator algebras, infinite dimensional Lie
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agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD degree in Mathematics or a related field, and a strong research