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- NTNU - Norwegian University of Science and Technology
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Field
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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transformation over the time. Taking this research further may mean considering the dynamics of the precedence graph, with a more general mathematical formulation and dedicated exact or heuristic methods. It may
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of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected to be in the upper segment
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management
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The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) in mathematical
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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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epidemiology. We seek a talented and enthusiastic person with experience in epidemiology, genetics or statistics. For more information about the center, see https://www.ntnu.edu/hunt/mce At HUNT MCE we use
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if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. Jon Terje Hellren Hansen via Unsplash Jon Terje Hellren Hansen We offer Involvement
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, or similar programming languages (or strong skills in another statistics software) Knowledge about the endocannabinoid system, stress responses, post-operative outcomes or psychopharmacology Excellent
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addition to their PhD project, they will take part in group activities with the core project team, consisting of the PI, a postdoctoral researcher, and the other PhD research fellow. In addition, PROBONO is supported by