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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
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programmes. We are especially keen to hear from applicants with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications
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’. Palaeoverse (https://palaeoverse.org/ ) is an organisation aiming to unite the palaeontological community through shared resources, agreed standards, and a collective commitment to improving reproducibility in
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level. Successful candidates will teach and supervise students who are serving officers and civil servants in the UK and allied armed forces and partners. There are also opportunities to contribute
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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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new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join an exciting
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with a strong knowledge of current computing practice and be able to teach a range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise