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training through formal courses, active participation in research activities, collection and processing data, publication in international peer-reviewed journals, and finally writing a PhD dissertation to be
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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 DTU's rules for the PhD education
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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fairness in FairChoices: DCP Analytics Tool (www.fairchoices.org ) and integrate these with existing information on the cost-effectiveness of multiple health care interventions. To apply social welfare
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, inspection histories, operational performance data, hyperspectral imagery, train-borne video analytics and satellite soil-moisture products to build predictive models of vegetation-driven and water-driven
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these with existing survey data. The PhD student will contribute to international journal publications, present results at conferences and seminars, and take part in research training and the academic life
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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The Swedish University of Agricultural Sciences (SLU) is seeking a PhD student with a focus on biosecurity from a systems perspective. The position is located at the Department of Clinical Sciences
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Are you interested in applying advanced data analytics and quantitative models to challenges in nutrition and health? This position at Fraunhofer-Chalmers Research Centre offers the opportunity