17 parallel-processing "UCL" "UCL" "UCL" Fellowship positions at Trinity College Dublin
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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wave exposure assessments. The post holder will also implement additional advanced monitoring, including tidal, wave, and suspended sediment transport processes at all Irish focal sites within the CMAP
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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, School of Psychology, Trinity College Dublin. The successful candidate will join a research team working on the PRACTICE (Process Redesign and Clinical Transformation through Iterative Co-Design and
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. Currently, consideration of population health outcomes and inequalities is variable, often implicit, and dependent on individual expertise rather than embedded processes. This results in inconsistent decision
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Navigate) and exploring related conceptual and methodological issues. The post offers experience and responsibility in multiple key aspects of applied health economics: processing and analysing trial data
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freeze of the sensor (WP2), and design iteration of the cloud solution to transfer and process the data (WP4),supporting documentation to obtain approval for the clinical trial (WP7), submission of data
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Researcher Scale, PD2 Point 3 (€58,578), in line with Government Pay Policy. Closing Date: 12 Noon, Friday, 18th September 2026. Application Process Application must be submitted through the Trinity College
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Researcher Scale, PD2 Point 3 (€58578), in line with Government Pay Policy. Closing Date: 12 Noon, Friday, 18th September 2026. Application Process Application must be submitted through the Trinity College
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, PD2 Point 3 (€58,578), in line with Government Pay Policy. Closing Date: 12 Noon, Friday, 18th September 2026. Application Process This Research Assistant position is funded through la Fondation