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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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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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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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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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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
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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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PhD Position: Quantifying Indoor and Occupational Microplastic Exposure Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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. The research environment is supportive and PhD candidates take actively part in all the social life at the department. Additional information, including detailed course plans, may be found here Funding The four
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on the project choice/previous experience/interests, as a PhD student, you will gain hands-on experience in Synthetic chemistry and analytical techniques (HPLC, LC–MS, NMR) Designing and synthesising compounds
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this framework, we are looking for a motivated PhD researcher who will work across KU Leuven and the University of Essex, at the interface of urban ecology, remote sensing, environmental epidemiology and data