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Field
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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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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-based assays would be beneficial as large-scale disease screening is planned for March 2026. The jobholder will be expected to document and maintain lab-records to a high standard. Occasional travel will
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develop the foundational and scalable tools, technology and methods needed to synthesise large sections of human genomes/chromosomes. Through programmable synthesis of genetic material the aim is to unlock
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, funded by the UKRI Frontier research grant titled “StochFields”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in
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, funded by the Simons Foundation grant titled ‘Simons Collaboration on Probabilistic Paths to Quantum Field Theory’. They will be expected to conduct research which falls within the remit of this large
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, and computational humanities. The postholder will lead the curated stream of the project, which involves designing a large corpus of Latin texts, curating it (correction of pre-processed data and corpus
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region