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, ranging from grade 1 and 2 listed properties to brand new state of the art learning and research spaces. It consists of two main campus sites (Edgbaston & Selly Oak) along with properties in Stratford upon
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relevant Manual Handling course. The ability to demonstrate communication and computer skills are essential, as this will be required for assisting in ordering of stocks, delivery and stocktaking of products
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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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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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, and (b) developing and advising others on learning and teaching tasks and methods. You will be expected to advance teaching and learning practice in your modules within the school, take a role in
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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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of inflammatory bowel disease using edge computing and machine learning. Role Summary Work within specified research grants and projects associated with the Intelli-Ingest consortium Operate within area of
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and kept up to date including maintaining records both paper and computer based as appropriate. Store, curate and back-up data to prevent data loss. Organise, back up and curate research data (e.g. in
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visits to deskside or providing remote computing support to staff and students at the University. During this apprenticeship you will learn the knowledge and skills required to analyse problems
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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