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Tavakoli. The group includes both PhD students and postdoctoral PhD students. The group conducts theoretical research broadly within quantum information and the foundations of quantum physics and has
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The Division of Atomic Physics at the Department of Physics, Lund University, has a
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acquired substantially equivalent knowledge in some other way in Sweden or abroad. A person meets the specific admission requirements for third-cycle studies in Physics if he or she has: at least 30 second
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Sweden or abroad. A person meets the specific admission requirements for third-cycle studies in Physics if he or she has: at least 30 second-cycle credits of relevance to the subject, of which at least 15
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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biomedical research group focused on understanding how the body's cells sense their physical environment and make decisions such as growing, dividing, or migrating. We apply our fundamental discoveries
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of such work is 20 %. Entry requirements Entry requirements for doctoral studies in Human Rights Studies are specified in the general syllabus – ht.lu.se . Assessment criteria The selection process will
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
syllabus – ht.lu.se . Assessment criteria The selection process will primarily take into account the applicants’ ability to benefit from doctoral studies. This is assessed against the criteria quality
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an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling