216 computational-physics-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Sweden
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Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements In order to complete the doctoral programme in question, the following are also
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physical geography, for research on the role of perennial snowfields in the water cycle in northern Sweden, with special focus on evapotranspiration. The start date is fairly flexible but ideally sometime
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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opportunities with experimental groups in atomic physics at Lund University, within attosecond physics and quantum information (e.g., Prof. Anne L’Huillier and Prof. Stefan Kröll). For more information: https
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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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, Section 39) Specific entry requirements In order to fulfil the specific entry requirements for admission to doctoral studies in physical geography, the applicant must have passed courses in a basic higher
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courses) that are relevant for this topic, or M.Sc. degree within Computer Science, Electrical Engineering, Information and communication Technology, Engineering Physics or Engineering Mathematics
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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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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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological