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Field
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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Associate to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National Institute of Health & Care Research (NIHR). The aim of this programme
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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. coding, archiving, data scraping, data visualisation, digital story-telling), they should be open to learning them where relevant to the project. The appointed person will be required to carry out up
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. in MATLAB, Python, C) are essential. You will also closely collaborate with a second postdoctoral researcher, who will be hired later in the year, a cohort of PhD students, and a range of visiting
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to learning them where relevant to the project. The appointed person will be required to carry out up to two months of fieldwork every year, produce their own and co-authored publications, co-organise