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corresponding functional analytic methods is required. Good knowledge of English (written and oral) is required, as well as strong collaborative skills and the ability to work independently. Prior experience with
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specialisation to infinite group theory) at Lund University is a 3-year research position, with the possibility of some teaching. The application deadline is the 29th of September 2025. The preferred start date
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: Arithmetic Geometry and Representation Theory Appl Deadline: 2025/04/25 11:59PM (posted 2025/04/04, listed until 2025/10/04) Position Description: Apply *** the listing date or deadline for this position has
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economics and organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment information Employment
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description at the Division of Nanotechnology and Functional Materials
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processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability
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Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher to become part of our team at the Division of Subatomic, High-Energy and Plasma Physics at the Department of Physics
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research. Our methodologies are equally varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary
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-edge research in particle physics and quantum field theory, while collaborating with leading experts worldwide. About us The High-Energy part of the Theoretical Subatomic Physics group performs research