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this 24-month project. The project aims to design and deliver a disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement
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use +3.5 - covering the full PhD Politics programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part
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life cycle assessment although no prior experience in these methods is required. You should have, or soon have, a PhD or equivalent in polymer chemistry or a closely related field with experience in
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undertaking study in: Aerospace Engineering Astronomy and Astrophysics Chemical Engineering and Analytical Science Chemistry Civil Engineering Coatings and Ceramics Computer Science Earth and Environmental
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undertaking study in: Aerospace Engineering Astronomy and Astrophysics Biomaterials Chemical Engineering and Analytical Science Chemistry Civil Engineering Computer Science Earth and Environmental Sciences
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) Specified use +3.5 - covering a full postgraduate research programme Please note that existing postgraduate research students and applicants for distance learning PhD programmes cannot be considered
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a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in
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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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infrastructure, enabling effective use of the facility for these cutting-edge experiments. Applicants should hold, or be nearing completion of, a PhD in cancer biology, radiobiology or a related biological science
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harness the power of software for research. The post is based at the University of Manchester in the Human Computer Systems group at the Department of Computer Science, but will work closely with the rest