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, shipping, predictive modelling, or climate risk Elements from the two tracks can be combined. For more information about the Department of Business and Management Science and its research profile, visit
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systems, with a particular focus on saline lakes and coastal lagoons. The research will combine fieldwork, water and sediment sampling, laboratory analyses, and numerical modelling to improve our
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management, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in optimisation, microeconomics, scientific methods Elective courses in operations research
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design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently
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strategic mechanisms that enable or constrain innovation in business models. Possible topics include, but are not limited to: How do top management team characteristics, decision-making processes
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modeling reaction kinetics. Proficiency in Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro at Hydrumedical using in house-developed flow
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Forschungsinstitut and aims to reconstruct global 3-D coastal sea surface height by combining long-term satellite altimetry, high-resolution SWOT mission data, tide gauges, and ML approaches. The position offers
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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regulations that provides both incentives and constraints for the maritime energy transition and emission reduction. The research objective of the PhD is to develop models that capture the interaction between