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fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
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optimisation of aluminium extruded crash management systems (CMS). This research project combines operations research methodologies with machine learning techniques to revolutionise the design process, ensuring
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on the expertise of the seven research groups involved, using a combination of experiments in cellular and animal model systems, mathematical modelling, machine learning and music technology. One PhD student
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Simultaneous localization and mapping in navigation Open source artificial intelligence, machine learning, and statistical estimation methods, software tools and big-data frameworks Estimation algorithms, e.g
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of Biosciences (BIOVIT) at the Norwegian University of Life Sciences (NMBU) in Ås near Oslo, seek to fill a three year PhD–position in Animal Breeding and Genetics. The PhD project “Genetic background of feed
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, mathematical modelling, machine learning and music technology. One PhD student or postdoctoral fellow will be recruited to each of these four fields and this group will work together on the AUTORHYTHM project in
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Torbein Kvil Gamst 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in the intersection of information theory and deep learning Apply for this job See
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. Capability to develop machine learning and other AI based models for the proposed research theme. Excellent written and verbal communication skills in English. Further provisions relating to the positions as
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be able to teach at all levels and to supervise Master and PhD students. The position shall perform research on topics such as groundwater resources/flow and quality, pollution risk and contaminant
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs