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Field
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, distributed ledgers) Desirable: Experience with generative AI (e.g. LLMs) Interest in Human-Computer Interaction Interest in privacy enhancing technologies (PETs) Other: Experience in presenting or preparing
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underserved groups. For an informal discussion about the studentship, please email Fabio.zucchelli@uwe.ac.uk Funding details The studentship is available from 01 October 2025 for a period of three years
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account, and use the link sent by email to start the application process. During the application process please select the PhD in Real Estate and Planning. *Important notes* 1) Please quote the reference
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/PhD) in their research activities, where appropriate. They will be responsible for maintaining accurate and complete physical and electronic records of their work and should be prepared to assist with
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through our Full-Time online link as per below: qpl.edgehill.ac.uk/apex_qlive/f?p=PV_ONLINE_APP:101::::APP:APP_COURSE_INSTANCE:856620958 Once you have done this, please send the following items in one email
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. Contact Details Dr. K. Marie McIntyre Email: marie.mcintyre@newcastle.ac.uk
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
additional funding for international and national conferences, training, and industrial placement. How to apply For further information please contact: Name: Dr Christina Latsou Email: Christina.Latsou
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. Essential skills: A BSc degree or equivalent ideally in a health related field, excellent computer literacy, good inter-personal communications skills. Desirable skills: Previous experience in medical
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be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project and the funding please email Rasa Remenyte-Prescott (r.remenyte-prescott
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Application process To apply for the studentship please click the ‘Apply’ button above to complete the application form and email it with a copy of your CV, two academic references, a copy of passport photo