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of the UCL Queen Square Institute of Neurology (ION). The Centre combines laboratory and clinical expertise focused on neuromuscular and neurological disorders, their mechanisms of disease and includes cutting
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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. Minimum Requirements PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or Computer Science with a focus on dynamics and control. Additional Qualifications Considered PhD in
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maintaining scientific standards Qualifications Basic Qualifications PhD in Computational Genetics, Bioinformatics, Biostatistics, Statistics, or closely related field (summer and fall graduates are also
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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that the structural models use high-fidelity aerodynamic data to compute the aerodynamic loads and inform the overall system design. About You You will hold a PhD (or close to completion) in aerospace engineering
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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at the Department). The PhD-project will be connected to the research group of Prof. Nathalie Reuter at the Department of Chemistry and the Computational Biology Unit , in collaboration with Prof. Odd André Karlsen
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the third and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from
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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and