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Field
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Deadline 1 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with the international scholarly community
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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research at the intersection of moral psychology and AI ethics, contributing to a major programme of work on how humans understand, evaluate, and trust artificial intelligence (AI) systems that make moral
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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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the full project team. This programme of research will be conducted in collaboration with partners from the Australian National University and Natural England and has been funded by the UKRI through the ESRC