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, or knowledge representation. You will be working closely with a team of PhD and Postdoctoral researchers from The University of Manchester, who are developing the underlying technology. You will also be working
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. The project is a collaborative effort, with post-docs and PhD students collaborating across sectors and universities in an interdisciplinary environment to build actionable solutions to address
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to demonstrate the following: is in possession or close to submitting a PhD degree in a relevant discipline (e.g. physics, materials science, computer science, electrical & electronic engineering); has hands
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developing sustainable cement formulations. You must have, or be about to complete, a PhD qualification (or equivalent) in a relevant academic field. The primary aim of this research project is to develop and
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approach is one of the distinctive features of data science at Manchester. You should have a PhD (or equivalent) in statistics or a similar field, and be developing your publication record. You should have
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assisting in PhD supervision. Additionally, the role involves writing academic papers and maintaining valuable partnerships with external academics and industry stakeholders. Applicants must have, or be about
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post holder(s) will be expected to hold a PhD and/or equivalent professional experience in a relevant cognate area for the teaching of courses in the following disciplines: Management and Information
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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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Type of award Bursary Managing department School of Arts, Languages and Cultures Value Tuition fees (Home) Specified use Contribution towards tuition fees for a PhD programme in Music. Tenable
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with