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that implements pore-scale results into Darcy-scale models Validate the models using literature data Publish high-quality articles in peer-reviewed journals in the field Present research outcomes at national and
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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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) Other positions may be available from externally founded research projects, like Research Council of Norway and Horizon Europe projects. General information about Doctoral degree programmes (PhD
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to think analytically and creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative
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: Developing and applying life-course chronology methods to understand trauma, adversity, and social instability across the lifespan. Collecting and analysing data on cPTSD symptom dimensions, inhibitory control
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defended in English. Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning, duration and mode of study Candidates who receive an offer at the end
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch
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Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimisation” led by Dr. Marcello Carioni at the University of Twente. More information about this here . Infinite-dimensional modelling has
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macroeconomic paradigms. The research will include: Macroeconomic modelling (using SFC and other approaches) Macroeconomic theory covering different paradigms in macroeconomics Integration of financial data