537 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" PhD positions in United Kingdom
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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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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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’) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a
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measurement and stopping rules controlling type-I error with finite-sample guarantees. Quantum statistical modeling: use of quantum relative entropy, Fisher information, and variational quantum circuits
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placement will be provided by HM Inspectorate of Probation. For further information about the application process, please contact the Admissions Team For further information about the project, please contact
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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
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for candidates who can demonstrate strong research potential. Suitable backgrounds include, but are not limited to: Human Factors Law (particularly law and technology, medical law, or data governance) Psychology