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mechanistic model and bioinformatic analysis of public datasets to derive a score for quantifying cancer immunogenicity. You can find out more about the research here: https://elakatos.github.io/ Who we
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analysis algorithms will be used to assess how different neutrophil subpopulations directly and indirectly kill tumour cells, and how this behaviour is influenced by other cells in the tumor microenvironment
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, livestock systems, and healthy and sustainable diets, providing analysis and insights aimed at helping to shape the decision-making process at all relevant levels. The livestock sector is a crucial component
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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Loughborough serve as contrasting case studies, pairing a metropolitan centre with a smaller town to secure transferable findings. The project provides advanced training in spatial analysis, AI methods, and
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for Spatial Studies, and professionals at a leading policy research firm to design and implement empirical and computational studies examining policy variation, transfer, and scaling. With the spatial analysis
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. Demonstrated experience with data analysis generated by NGS, proteomics, single-cell omics and spatial genomics. Strong proficiency in Python, R, and Linux command-line environments. Familiarity with databases
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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the past. This approach is criticized for underestimating the true costs of climate change (e.g., at just 1-3% of GDP loss even under severe scenarios), impeding climate action. In contrast, analysis
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Sciences in the College of Arts, Sciences, and Letters is seeking a LEO Lecturer I in the Earth and Environment Discipline to teach ESCI 485, Spatial Analysis and GIS, in the Winter 2026 semester which