347 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" Fellowship positions in United Kingdom
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empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will further support and engage with academic and
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AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the
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information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in psychology, neuroscience, biomedical sciences, or a
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2026 Background We are seeking a highly motivated researcher in statistics, geostatistics, data science, or a related field to join our research team in the Department of Applied Health Sciences
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research, etc. The post-holder will primarily undertake data extraction, data management, and advanced quantitative analyses, as well as liaising with the other research teams, supporting patient and public
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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to share data and resources Customer advert reference: B02-10023
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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strengthen democratic resilience. The selected candidate will help deliver this important project by engaging directly with Women MPs and their staff and through data analysis on public online discourse on UK
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projects based around inflammatory and immune mechanisms in the ocular microenvironment. To assist medical research by carrying out sample processing, laboratory analyses and data collection, thereby