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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience (TCIN), where they will interact closely with experimental and computational neuroscience groups. They will hold visiting
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how artificial intelligence is transforming welfare governance and migration management across Europe. The study spans the UK, the Netherlands and Sweden and investigates how automated decision-making
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artificial intelligence is transforming welfare governance and migration management across Europe. The study spans the UK, the Netherlands and Sweden and investigates how automated decision-making systems
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endosymbiotic interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team
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models and validate these predictions in follow-up neuroimaging experiments, 2) define and model dimensions related to the perception of animacy when interacting with objects and people using videos
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Centre. About the Charpentier Group: The Charpentier group focus on understanding the calcium signalling network controlling endosymbiotic interactions between soil microbes and crops. The overall aim
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to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host-pathogen interactions, iii) provide a platform for
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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by