167 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Glasgow
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, microarray, RNAseq, proteomics or metabolomics, for which we are very well equipped), together with mathematical and computational biology to draw higher-level insights. Systems biology also works very well
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of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. arXiv. 2023 Albert-László Barabási. Network Science. Cambridge University Press. 2016. http
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Overview Our Geospatial Data Science programme is suitable for students wishing to pursue a PhD and undertake innovative research in a wide range of subjects which aligns to one of our Geospatial Data
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tissue microarray construction across multiple tissue types. They will combine expertise in computational science with an understanding of histopathology to drive high-quality image analysis and AI-based
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Overview Overview An opportunity to carry out a Masters by Research/PhD whilst gaining applied sports science experience in elite sporting organisations. Our Sport Science programme has a focus on sports
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Job Purpose A Research Associate is sought to work in the ESRC-funded Administrative Data Research UK - Scottish Centre for Administrative Data Research (SCADR). The postholder will deliver policy
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IELTS One Skill Retake Accepted Tests must have been taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test. Common equivalent
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alongside members of staff in Student Learning Development (SLD) in the delivery of academic literacies teaching to taught students in both the College of Social Sciences and the College of Arts & Humanities
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of “Aerospace” and “Electronics and Electrical Engineering”. We are seeking a highly-motivated Postdoctoral Researcher to work on the numerical modelling and testing of superconducting cables for aircraft
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Job Purpose For appointment at Grade 6 You will contribute to a project Discriminating Dialects: Mitigating Bias in Automatic Speech Recognition working with Professor Jennifer Smith. The successful