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AI Research Specialist Research Track COLLEGE OF MVLS GRADE 7 Background Job Purpose To develop, test, and implement AI/Machine Learning models for the analysis of real-world healthcare applications
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supervision and development/mentorship/coaching of early career academic colleagues in subject area/team. Experience Essential: E1. A track record of integrating machine learning and/or computational biology
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. Experience of scientific writing. E4. Experience in analysing NGS data. E5. Experience in statistical programming (e.g. R or related software, or machine learning applications). E6. Proven ability to deliver
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Technical Services Manager. 2. Collect glassware, plasticware and other laboratory materials on a daily basis for handwashing, machine washing and sterilising as required; ensuring effective quality control
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learning, information retrieval, and computer vision & autonomous systems, as well as with the GLAsgow Systems Section (GLASS), which includes expertise in cybersecurity and adversarial AI. Particular areas
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Knowledge of large language models, machine learning and AI within the context of health research. B2 Knowledge of data management requirements for delivering spatial biology enterprise solutions and
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staff students and visitors; and carry out checks of University buildings and external car parking areas in order to prevent the risk of fire, flooding, accident and intrusion. Respond to Safe Zone alarm
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Job Purpose To make a leading contribution to the project “Women, Ageing and Machine Learning on Screen” (funded by the Leverhulme Trust) working with Dr Tanaya Guha at University of Glasgow, and
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protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles
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Intelligence (AI) and development of Machine Learning (ML) models and Federated Learning. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent