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programme at NMBU. Foreign degrees must correspond with the admission criteria for the PhD program. For more detailed information, please see the PhD Regulations . Experience from data science or relevant
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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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, and assess their association with health and production performance. For more information and for an initial discussion please contact Dr Lisa Williams Lisa.Williams2@hartpury.ac.uk The University
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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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, 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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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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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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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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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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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