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their spectroscopy and phase structure, and benchmarking phenomenological applications at the crossover between particle physics and astrophysics. This joint PhD programme is co-hosted, co-financed and co-supervised
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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service; and (d) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications Applicants should: (a) have a PhD degree and a solid academic background in a relevant
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, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
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applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Programme’ as ‘Chemical Engineering’. Please quote the advertised reference number ‘CG-BB-2507’ in your application
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Doctoral Training Partnership (NWCDTP) ESRC North West Social Science DTP (NWSSDTP) Your PhD Humanitarianism & Conflict Response Studentship application will be considered based on your programme application
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status. How to Apply: All applications should be made online via the above 'Apply' button’. Under ‘programme name’, select ‘Mechanical and Manufacturing Engineering’ and quote the reference number ‘FP-MH2
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Mathematics PhD on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Candidate requirements: Applicants must hold
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plan in collaboration with PhD supervisors Achieve ethical and governance approvals to undertake research Achieve publication of research in appropriate peer reviewed journals Present research
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for ToF-PET and significantly enhancing early cancer diagnostic capabilities. The skills and knowledge gained will be highly transferable to other applications requiring high-performance radiation detection