103 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Glasgow
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the Institutes. A variety of approaches are used, including ecology, epidemiology, mathematical, computational and statistical modelling, bioinformatics, parasitology, immunology and polyomics (genomics
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supported by a programme of high quality internal training, a dedicated and cohesive team, and exposure to our extensive network of international colleagues. They also have access to the researcher training
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to this programme TOEFL (ibt, mybest or athome) Tests taken up to 20 January 2026 90 Overall, no subtest lower than Reading 20; Listening 19; Speaking 19; Writing 21 Tests must have been taken within 2 years 5 months
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English language qualifications accepted for entry to this programme TOEFL (ibt, mybest or athome) Tests taken up to 20 January 2026 96 Overall, no subtest lower than Reading 23; Listening 23; Speaking 23; Writing
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students, that interact with staff through a regular programme of workshops and seminars. PhD: 5 years full-time; 3 years part-time; Thesis of 70,000-100,000 words Apply now Overview Overview We welcome
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-computer interfaces, stem cell differentiation using nanotechnology, robots as orthotic aids, and the creation of artificial cells. Research areas Our research expertise covers the following areas: Advanced
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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 TOEFL (ibt, mybest
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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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, mechanism and application of DNA-rearranging enzymes, the translational genetics of myotonic dystrophy and related unstable DNA disorders and systems biology including ‘omics analysis and computational