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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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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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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts
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(landscape) ecologist with a broad, interdisciplinary interest with experience in spatial analysis of interactions between land use and biodiversity. Your work includes teaching courses in environmental
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regeneration. Isolate immune and stromal populations from tissues for downstream analysis. Perform flow cytometry, histological analyses, and imaging-based ferroptosis assays. Analyze single-cell and spatial
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at various spatial and temporal scales, ranging from individual cells to tissues, organs, and full physiological systems. Computational modeling and simulation: development of constitutive laws, finite-element
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includes primary immune cell isolation and manipulation, high-dimensional flow cytometry, multiplex immune profiling, spatial and single-cell transcriptomics, and functional assays to evaluate immune
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trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first
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the analysis of a unique clinical material from more than 250 cancer patients who have been followed with regular sampling for up to eight years. Subject area Oncology Subject area description Modern