324 computer-programmer-"Multiple"-"U"-"O.P"-"Prof"-"Prof"-"U.S" positions at University of Glasgow
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to strengthen business case development and navigate the commercial, infrastructural, and partnership challenges of a 10-year programme. Lead performance reporting to SMG, ensuring alignment with both Investment
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” or equivalent). Alternatively, applicants without a Master’s degree can be considered for admission to the PhD programme if they achieved a first-class honours result (or international equivalent
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candidate will join an ongoing research program to lead the experimental side of the project, working closely with the computational modelling PDRA in Dr Bishop’s team. The successful candidate(s) will also
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specialty clinical training programme in Periodontics and engage in continuing professional development activities as appropriate to the specialty. Successful completion of clinical training will lead to the
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for the SGSAH, including the development of strategies and associated action plans, ensuring that its activities are directed appropriately to the needs of multiple stakeholders and maximising value from member
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members of the academic teaching team in the conduct of their duties. 2. Work closely with relevant Programme Lead(s) of Learning and Teaching to provide administrative support for programmes and courses
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Job Purpose To work on a Knowledge Transfer Partnership funded programme with the aim of embedding expertise in group III-V and group IV semiconductor materials, allowing for the creation of new
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to contribute to the re-development of programme plans and implement the development and co-ordination of new academic content. 2. Contribute to course creation, development and delivery, including tutoring
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Job Purpose Within a clear and established teaching programme, contribute to the delivery of an excellent student experience by undertaking a range of teaching, assessment and administrative duties
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Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep