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variables need to be connected to variables that are observable in the laboratory. Of special interest is the information entropy that characterizes the flow distribution, velocity distribution and the
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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
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techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications
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Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
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. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of
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research stay at MIT during the PhD period and to collaborate with a PhD student or postdoc at MIT within the same research programme. Duties of the position Carry out research of high quality within
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to enhance fairness such as video-assisted refereeing (VAR), and the (unequal) distribution of resources in the sport system. The ethics of performance-enhancing technologies: Such technologies range from
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chemistry), graphene chemistry, advanced materials characterization (XRD, TGA, STEM, SEM, FTIR, particle size distribution, AFM), experimental physics, chemical engineering, materials science. You will be