531 data-"https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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involve extensive field-work at major nuclear laboratories, in particular in the United States. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly
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-generation materials. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is
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of the technique to complex organic substances. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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-of-the-art simulation algorithms to circumvent the slow dynamics leading to high-quality modelling of currently inaccessible experimental quantities. About HetSys: Harnessing Data, Modelling and Simulation
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, or materials students wanting to blend fundamentals with real-world impact. Code, physics, and helping to solve the energy challenge, all in one project. About HetSys: Harnessing Data, Modelling and Simulation
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manufacturing methods in close collaboration with the Merck experimental team. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling
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, accelerating the discovery of next-generation thermoelectrics. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous
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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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the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks