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machine learning. Supervision will be provided by Prof. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Prof. Helen McGettrick. The successful candidate will have a strong background in psychology
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Language Processing (NLP) with a focus on large language models, deep learning, and multi-modal machine learning. The researcher will work on the project KAMAL Health: Knowledge-Augmented Multi-Modal Arabic LLMs
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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PhD) or equivalent qualifications. Extensive teaching experience and scholarship within subject specialism. Proven ability to devise, advise on and manage learning. Skills in managing, motivating
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responsibility of this position is to develop comprehensive machine learning and artificial intelligence (AI) pipelines for single- and multi-omics modelling and prediction. Working under PI supervision, the role
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. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be at the forefront of interdisciplinary
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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Magalhaes to support a research project aiming to develop machine learning methods for drug repurposing in ageing and frailty disease. We aim to employ a machine learning approach to predict, among existing
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University of Birmingham | Belfast International Airport, Northern Ireland | United Kingdom | 3 months ago
Specification A higher degree relevant to the discipline (usually PhD); Extensive teaching and scholarship experience at HE level within subject specialism; Proven ability to devise, advise on and manage learning