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Field
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, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact
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employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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and multilateral drilling concepts for cost-effective heat extraction Thermodynamic aspects of deep drilling: heat transfer, fluid–rock interaction, and downhole thermal effects on drilling performance
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Artificial Intelligence (GenAI) in education? Are you fascinated by how secondary school students self-regulate their learning and develop reading comprehension skills? Are you eager to combine learning
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interaction, and downhole thermal effects on drilling performance Identifying technological and operational factors requires significantly increasing the rate of penetration (ROP) and making drilling
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at Bachelor, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact
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strong track record in pharmacoepidemiology, pharmacogenetics, pharmacokinetics, drug-drug interactions, therapeutic drug monitoring and exposure to environmental chemicals. Specifically
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SCOPUS databases). Presentation of own research results at scientific and popularisation events. The applicant must demonstrate analytical thinking in problem-solving, the ability to interact in
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invites applications for a PhD position focused on developing a theoretical framework for monitoring and updating adaptive learning systems (including machine learning/artificial intelligence systems) under
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields