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Field
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profound interest in inorganic chemistry, in both experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work to support
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into host cells. They play a central role in the spread of antimicrobial resistance and in numerous pathogenic processes. This doctoral project aims to elucidate the molecular mechanisms of substrate
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comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface quality metrics, such as the 'white
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method such as ReCiPe 2016 alongside the UCrad model for radiological effects. This work will significantly contribute to developing a holistic perspective on SMR waste management and informing technology
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black
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, providing a solid foundation for further investigation. Your tasks and responsibilities Develop and validate cellular models of acute paralogue dysfunction in developmental contexts (e.g. degrons) Map binding
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are antibiotic-tolerant bacterial communities that are the cause of many chronic and acute infections, but biofilms are also a model system for understanding basic aspects of multicellular organization in living
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are antibiotic-tolerant bacterial communities that are the cause of many chronic and acute infections, but biofilms are also a model system for understanding basic aspects of multicellular organization in living
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engineering, environmental engineering) In-depth knowledge of: Geotechnics, numerical calculations with discrete element method, model tests, laboratory tests, geotechnical measurements, natural hazards, mass