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experience with coding, e.g. MATLAB or LabVIEW, would be beneficial. Familiarity with multiphysics simulation tools is desirable. Evidence of creative thinking and the ability to work independently. Industry
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strategies and levels of fidelity. By the end of the project, the student will demonstrate the integration of ML-based boundary layer models within an open-source finite volume CFD code and quantify
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has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm Your duties and responsibilities: Familiarise with the state
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equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good
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or coding is advantageous but not essential; full training will be provided. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a
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for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites/cdtsustainablecompeng/ . Research focus areas: Mechanical Engineering, Civil Engineering, Aerospace
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to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
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student, who likes working as part of a team and is keen to take on a new challenge. An understanding of optics and/or machine learning is desirable but not essential, along with general coding skills. 1st
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of particular importance to primary care, with details of training opportunities for SPCR Trainees found here: https://www.spcr.nihr.ac.uk/career-development/spcr-trainees . The award includes home tuition fees
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic