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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Doctoral student in Electrical Engineering to the Department of Electrical Engineering (PA2025/3495)
Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and Communication Engineering. Additional requirements In order to
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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subject is divided into a range of sub-disciplines and specialisations. The PhD programme at the Department of Biology includes many of these specialisations, from molecular biology to applied ecology, from
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subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many of these specializations, from molecular biology to applied ecology, from
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in some other way, either in Sweden or abroad (Higher Education Ordinance, Chapter 7, Section 39) An applicant is eligible to be admitted to the third cycle degree programme in Economics if he or she
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Description of the workplace The Division of Biochemistry and Structural Biology aims to understand fundamental life processes at the molecular level using experimental and computational methods
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from Sweden and the rest of the world with the most brilliant Synchrotron radiation source and instrumentation for research in areas such as materials science, structural biology, chemistry and
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biomedical science at Lund University or an equivalent program deemed relevant by the employer, during spring 2026, and throughout the employment as student employee You must have passed 60 ECTS credits You