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Medicine (CTM) (50%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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2D ultrasound video scans, including from maternal abdomen phantoms and clinical participants, in accordance with standardised protocols (e.g., the INTERGROWTH-21st protocol). These data will support
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the region. They will ensure that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community
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model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
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specialism), the post-holder will contribute to achieving research objectives by gathering and analysing qualitative and quantitative data, undertaking project management and administration related activities
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to policing data, with potential expansion to additional sectors such as health, education or justice in subsequent years. This will include contributing to the development of review and verification plans
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21 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Psychological sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application
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and of research methods and techniques Experience of organising meetings and research events Experience of data collection and data analysis (including visual data) and data management Evidence of
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September 2025 Background To support the advancement of NIHR funded research project through data collection and analysis, contributing to knowledge generation, and to provide research assistance to projects