11 evolutionary-algorithms positions at NTNU Norwegian University of Science and Technology
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is seeking a highly qualified, ambitious, and motivated PhD candidate for a position in bryophyte evolutionary biology. Bryophytes (mosses, liverworts and hornworts) were the first land plants
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methodology and builds on the current state-of-the art in animal breeding, human genomics, ecology and evolutionary biology. The post-doc will thus work with a cross-disciplinary team of researchers and can
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to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
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selection criteria You must have a relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills
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aspects such as materials, process safety, sustainability and circularity, and employ innovative design approaches and modelling techniques such as optimization algorithms. Specifically, your study will
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biogeography, biosystematics, evolutionary biology and ecology with a focus on biodiversity. The Department is responsible for developing and maintaining the Museum’s natural history collections, including
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, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim
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, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim
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of Computer Science We are the leading academic 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
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the technical vulnerabilities and building the cascading process of specific NATECH events in the offshore industry developing indicators and algorithms for analyzing the frequency and impact of typical NATECH