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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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aerodynamics, fluid mechanics, or turbomachinery (typically a first-class undergraduate degree or equivalent, and/or a strong Master's degree) -Experience with CFD, for example through coursework, projects, or a
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F. select ‘PhD Electrical and
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for symptoms recorded in the dataset then the symptoms were not present. However, we know that some clinicians are more likely than others to record symptoms in coded form. Using large-scale linked electronic
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8100F Research Area: Chemistry Select
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This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme
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committed to decolonising and diversifying Higher Education and fostering a supportive, inclusive, and equitable learning environment. Overseas applicants are welcome; however, the fee waiver covers only
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Once you have discussed your project with a prospective supervisor, you will need to make an application for a place on a postgraduate research programme. Please browse our course listings for a
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be found here . You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study
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Milisavljevic Syed Email: jelenams@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form.