276 parallel-processing-bioinformatics positions at University of Nottingham in United Kingdom
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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every step of the way, the team can help you to: ace the recruitment process providing advice on CV writing and interview preparation. explore a wide range of careers areas through web resources and
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of additional teaching resources, such as anatomical models and IT equipment. The role also involves supporting the daily operation and upkeep of the Anatomy Suite, including the monitoring and maintenance
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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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university to have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your
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feeding, and the setting up and operation of monitoring equipment, along with sample collection, processing, and data collation. • Assist in the daily husbandry requirements of the dairy cow and calf
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Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome
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ground up. Working closely with colleagues at the University of Nottingham, you'll take ownership of everything from day-to-day finance operations to strategic planning and process development. What you'll
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An exciting opportunity has arisen within the School of Veterinary Medicine and Science for an individual to join our Dissection & Surgery Team as a Support Technician. This role is essential in
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function and pain processing. This is a truly innovative and ground-breaking collaborative project between the PI Prof Gareth Hathway (School of Life Sciences), and the Co-Is Dr Federico Dajas-Bailador