218 computational-physics-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Sweden
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in collaboration with other researchers in the Distributed Intelligent Systems and Communications (DISCO) group at the Department of Mathematics and Computer Science. DISCO is a leading
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particular task, given a specific set of allowed, simple operations and a procedure to achieve it. As such, it is an important part of many fields from mathematics to computer science. Surprisingly, physics
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of Health, Science and Technology invites applications for a doctoral studentship in Computer Science at the Department of Mathematics and Computer Science. As a doctoral student, you will contribute
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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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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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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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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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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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–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