182 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" PhD positions in Sweden
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experiments. For more information about our group and current projects, please visit https://qtech.fysik.su.se/ . This project is funded within the QuantERA II Programme that has received funding from the EU
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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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per cent of full-time. Your qualifications You have graduated at Master’s level in electrical engineering, engineering physics, mechanical engineering, computer engineering, engineering mathematic
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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on developing biochar as a sustainable feedstock for hard carbon anodes in sodium-ion batteries. In collaboration with Besca AB (https://www.bescacarbon.com/ ), this project explores microwave plasma technology
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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time will be devoted to your own research. As a researcher, you act as a neutral party in various contexts, which provides a great opportunity to learn how to lead challenging development projects. As a
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. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/ . General
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Python) and data analysis or machine learning applied to materials science Ability to work in interdisciplinary project or industrial experience About the employment The employment is a temporary position
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous