1,441 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in United Kingdom
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by scraping multiple data
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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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linked health data, including major cohort studies and biobank resources. Your work will support high-impact programmes such as research into chronic diseases within the EXCEED Cohort Study, as
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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contexts and contribute to rigorous welfare assessment frameworks for practical use. Analyse Complex Data: Perform advanced statistical modelling and neurophysiological/behavioural data analysis to test and
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Datta and Dr Amrita Kulka in the successful execution of their Nuffield-Foundation-funded Big Data project “Towards housing affordability: local supply drivers and optimal policy” (project page here ). In