269 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at University of Manchester in United Kingdom
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Your privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually...
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Stage 1: You must submit a complete programme application for your chosen PhD programme by the funding deadline for your school (below). This is to ensure you hold an offer by the time of the NWSSDTP
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overseas equivalent) Nationality restrictions This funding is available to all nationalities. Application procedure You must submit your completed online programme application for a place on your chosen PhD
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internships An additional disability allowance can be provided where appropriate Students opting to study part-time will receive a pro-rata maintenance stipend. Specified use +3 - covering a full PhD programme
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eligible for application subject to CSC policy at the time. You must also: return to China upon completion of your studies/research; meet the minimum academic requirements for your preferred PhD programme
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the School if an offer of a place is made. For PhD students applying to the School of Life Sciences, all CONACyT scholarship holders receive an additional scholarship from the School where tuition fees
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obtain a PhD or equivalent in Physics, Electrical & Electronic Engineering, Computer Engineering, or a relevant discipline. You must have hands-on experimental experience and skills in thin-film
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must have a PhD in Sociology or cognate discipline. Interviews will be held in person in November or December 2025 (date TBC). What you will get in return: Fantastic market leading Pension scheme
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the supervisory team of the PhD student cohorts, supporting their training and development in technical and soft skills. In addition, you will also work closely with industry partners within NDA and
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of the catalytic and ion transport properties of new 2D materials. The successful candidate should have already submitted their PhD dissertation in Physics, Chemistry, Material Science or related discipline