305 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at University of Glasgow
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opportunities for applied and field-based work exist, the programme places particular emphasis on: Experimental design and controlled investigation Physiological, clinical, and mechanistic research approaches
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research programme include molecular genetics (human, Drosophila and microbial genetics), biochemistry, molecular biology, systems biology, ‘omics (genomics, transcriptomics, proteomics, metabolomics
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equivalent English language qualifications for entry 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
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subtest requirements using a single test. Common equivalent English language qualifications for entry to this programme TOEFL (ibt, mybest or athome) Tests taken up to 20 January 2026 90 Overall, no subtest
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flexible working approach to meet the demands of the operation. C2 Excellent time management skills. C3 Strong organisational, customer service and planning skills. C4 Adaptable with the ability to plan and
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qualifications for entry 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
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using a single test. Common equivalent English language qualifications for entry to this programme TOEFL (ibt, mybest or athome) Tests taken up to 20 January 2026 90 Overall, no subtest lower than Reading
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for entry 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
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polyomics (genomics, transcriptomics, proteomics, metabolomics). Basic and applied science projects are available for study, as are field-based projects with research programs underway in both the UK and
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computing Media and data science Programming languages Understandable autonomous systems The vibrant research culture of our School strongly encourages cross-disciplinary collaboration with each research