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taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test. Common equivalent English language qualifications for entry to this programme
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Contact Programme director, Dr Hongling Liang, hongling.liang@glasgow.ac.uk Study options Study options PhD Duration: 3 years full-time; 5 years part-time Thesis length: 70,000-100,000 words, including
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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will provide data-driven insight to inform strategic decision-making and enhance overall performance. Working with student, faculty, and programme datasets, you will apply analytical expertise
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:18th edition of the I.E.T. Regulations up to and including all current amendments Computer literacy is desirable for operation of Building Management Systems. Also, a first aid certificate would be
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Funded PhD Studentship in applied geospatial ecology. This project will investigate how dryland vegetation productivity varies across space and time and how it responds to land management. Working with NEOM, one of the world’s largest ecological restoration programmes, the project will develop...
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to support the University through York Giving. This role is part of the Corporate and Foundation Philanthropy Team, which manages the corporate and foundation supporters programme, working closely with
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. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in the Electrical Engineering (MEE) program and undergraduate courses in the Electrical & Computer
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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to the development of robust, reproducible machine learning workflows. The role forms part of a nationally significant research programme with strong policy relevance, working in collaboration with the Imago Data