107 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions at University of Birmingham
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Learning programme. We are now extending our portfolio to deliver the MSc Bioinformatics programme in collaboration with Jinan University in Guangzhou, China, and are seeking to recruit an Assistant
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set up and take out, cleaning of the machine. Attending training once a month outside of normal shift pattern, lifeguard training, situational training, fire warden training. Dry side (including indoor and
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developing and advising others, including: (a) providing expert advice to staff and students, (b) supervising and examining PhD students, and (c) developing and advising others on learning and teaching tasks
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You will provide high quality care, learning and development for all children attending the Nursery. You will ensure that children are safe, happy and stimulated with their individual needs met, in line
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To assist in research (by carrying out data collection and analyses) within an NIHR funded research project – Improving Communication of Adults with Learning Disabilities (ICALD). The post is situated in
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developing economic models, machine learning and simulations. Proven project management skills and experience of designing, managing and delivering high quality projects on time. Proven written and
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ground engineering, including AI-driven asset management, predictive maintenance, autonomous inspection, computer vision and sensing technologies. The successful candidate will be expected to create and
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support for the research undertaken by Professor Stewart using a variety of techniques to include, but not exclusively: Flow cytometry using Cytof and Symphony machines Cell sorting Use of Flow cytometric
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) History (Medieval Iberia) Manuscript Culture (Medieval Iberia) Literature, Theatre and Visual Culture (Early Modern Spain) Military and Maritime Life (Early Modern Spain) Translation and Cross-Cultural
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation