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supported by the Human Technopole Ciliopathies Flagship Research Programme , a multidisciplinary initiative that brings together several Research Groups to dissect the molecular mechanisms underlying ciliary
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problems that arise with analyses or other aspects of research projects; Contributing to reports, presentations and publications by preparing numerical and graphical summaries (visualizations) using relevant
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fundamental questions in biology using state-of-the-art technologies and large-scale datasets. Within this mission, the Biostatistics Unit of the Centre for Genomics – Population and Medical Genomics Programme
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transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre develops advanced computational and machine learning approaches to analyse complex
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to characterize CAR T-cell activation, persistence, cytotoxicity, and tumour cell responses. Generate high-quality functional and single-cell datasets and collaborate with computational colleagues to uncover
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, and generalizability Publishing in leading journals and contributing to international collaborations What you'll bring Essential PhD in machine learning, computational biology, statistical genetics