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potential of these measurements, there is a strong need of developing AI algorithms able to do real-time analyses of such data. Your immediate leader will be the Group leader of Manufacturing Engineering at
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, Abstraction and Reasoning, Bio-Inspired and Neuro-Inspired AI, Artificial Evolutionary and Developmental Systems, Alignment, Social Learning and Cultural Evolution, and other Artificial Life techniques
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be
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archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning