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and scope of MS research. This PhD project employs advanced network analysis and Large Language Models to develop predictive models for MS progression. It involves constructing and analyzing a complex
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ This is a joint PhD position with the Umeå Centre for Gender Studies
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the study plan. Starting date by agreement. Salary and employment benefits The salary of PhD students is determined according to a locally negotiated salary progression. More information about employment
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benefits The salary of PhD students is determined according to a locally negotiated salary progression. More information about employment benefits at Linköping University is available here. Union
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an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education
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to force the migration of ions into or out of an adjacent magnetic layer. The PhD candidate will investigate how this electrochemical technique can be used to improve spin-transfer switching of magnetic
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role in shaping the project. Duties As a PhD student, you will: develop a research plan in dialogue with the supervisory team collect, analyse and synthesise data on forest biodiversity write scientific
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has gone through a very rapid development in the last few years. Large-scale machine learning models are however notoriously over-confident. With insufficient amounts of data to train them on together
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PhD student, you will: develop a research plan in dialogue with the supervisory team collect, analyse and synthesise data on forest biodiversity write scientific articles and a doctoral thesis present