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(LTU) is one of Europe’s leading academic environments for mining-related research. To ensure continued development within critical raw materials research, we are now seeking a PhD student in Ore Geology
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understanding of electrolyte performance from molecular to device-relevant length scales. The main task for the doctoral candidate will be to develop and apply computational models to quantify and predict key
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103.reachmee.com/ext/I017/1114/main?site=6
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, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7&validator
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methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography
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translational research, research strategies and development, as well as education on both undergraduate and postgraduate levels. Where to apply Website https://lu.varbi.com/en/what:job/jobID:894214/type:job/where
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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collaborate with leading researchers and experts from several universities and the Visualization Center C. The work offers opportunities to publish internationally and develop cutting-edge expertise in AI and
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial