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Field
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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of these specializations, from molecular biology to applied ecology, from viruses and individual cells to evolutionary biology and global biodiversity. Taking on research studies at the Department of Biology generally means
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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Science is part of the Faculty of Health and Life Sciences. The research activities within this multidisciplinary department include the areas of aquatic ecology, cell and organism biology, evolutionary
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(BOM) is part of the Faculty of Health and Life Sciences. The research activities of this interdisciplinary department cover areas such as aquatic ecology, cell and organismal biology, evolutionary
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organism biology, evolutionary biology, zoonotic ecology and epidemiology, environmental science, climate research, environmental chemistry, and environmental risk assessment. Field of subject for the
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organism biology, evolutionary biology, zoonotic ecology and epidemiology, environmental science, climate research, environmental chemistry, and environmental risk assessment. Field of subject for the