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generate new knowledge to improve this particular therapeutic approach. These positions present an exciting opportunity for early career researchers to discover and apply new treatment paradigms. Key
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will have received their PhD in a relevant subject area within 5 years of the start date. During the one-year appointment, the YTL Early Career Fellow will develop their research trajectory, with a view
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analytics, human-centred computing, and spatial environmental analytics. In this role, you will design next-generation interactive tools that help researchers and decision-makers explore complex trade-offs
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in human induced pluripotent stem cells (hiPSCs)-derived skin organoids (https://pubmed.ncbi.nlm.nih.gov/38044307/ ), and the generation of vascularized skin organoids (https
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implement analytical pipelines for data preprocessing, quality control, normalisation, clustering, differential expression, trajectory inference, and pathway enrichment analyses. Integrate transcriptomic data
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to support career development for individuals who have a trajectory to be a future UK and international research leader in ageing and/or stroke research. You will contribute to ongoing work in the Unit and
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aspects of both. The first direction concerns the data-driven discovery of dynamical rules underlying developmental trajectories. The aim is to develop and analyze quantitative frameworks that learn
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track records of publications in high quality journals including top general journals. Excellent skills in data collection and management and reporting, including experience for data collection in
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contribute to data-driven and statistically rigorous analyses of complex, longitudinal human datasets, with a particular focus on understanding disease mechanisms, heterogeneity, and trajectories across
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to explore the evolution of taxa and characters and to infer centres of species/phylogenetic diversity and –origin, as well as dispersal trajectories. The candidate will work in a research team with several