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(or equivalent) or a Masters degree in a social science or other relevant area Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that
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algorithmic strategies, pushing the boundaries of quantum-enhanced learning. This 2.5-year postdoctoral position is funded by the Principal Investigator’s recently awarded EPSRC Quantum Technologies Career
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area of specialism Analyse and interpret research findings and results Help supervise undergraduate and MSc level students conducting projects related to the candidate’s research Main Duties
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interpret research findings and results Contribute to generating funding Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and
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the survey data via high-quality journal and conference outputs. With excellent quantitative research skills, and experience of primary data collection via online survey methods, you will also have relevant
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site, selected by low-income low population density neighbourhoods and related to Primary Care Networks. The fieldwork for this role will be based in the North East and North Cumbria region, exact
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years. The Chapman Schmidt AI in Science Fellows will produce independent and original research, using AI to advance science, within the Maths Department and the I-X Centre for AI in Science. These
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years. The Chapman Schmidt AI in Science Fellows will produce independent and original research, using AI to advance science, within the Maths Department and the I-X Centre for AI in Science. These
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Location: Leeds - Main Campus Working time: 100% - We are open to discussing flexible working arrangements Contract type: Fixed term (until 30th September 2027 to complete specific time limited
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spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA