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for the first time using longitudinal data from the RNC. This study investigated a range of research questions using RNC breast cancer data and explored potential secondary data linkages. The aim is to
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bridging disciplines and fostering collaboration between researchers, policymakers, and society. Your role Leading innovative data management strategies for LCSES, including acquisition from international
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Interdisciplinary Research Chairs to further enrich its community of researchers working at the interface of different disciplines. Join DYNABIO as a Group Leader in Biological Data Science This is a unique
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are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data
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modules for primary school teachers and educators Conducting education research related to the development and implementation of the PD modules and related actions in participating classes Coordinating data
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals reports, online data dashboards, and peer-reviewed research publications (as
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the professor's performance with respect to the above-listed expectations. For further information about the role, please contact: Prof. Serge Haan, Head of department, Email: Your profile A recognized degree in
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will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
response to therapies, with applications in brain tumours and neuro-degenerative diseases. Our data comes from large public cohorts as well as local proprietary databases of clinical and preclinical medical