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. The project follows a bedside-to-bench-and-back approach, utilizing human tissue single-cell and spatial multi-omics at disease remission (inflammation resolution), human tissue organoids, and the use and
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the localisation of inflammation in the joints. The project is based on a bed-to-bench-and-back approach , utilising human tissue single-cell and spatial multi-omics , engineered CAR-T cells,human organoids , and
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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of employment: 1-year fixed-term contract (CDD), renewable for 4 years. Informations Only applications submitted through the online platform are considered: https://careers.epfl.ch/job/Lausanne-PhD-positions
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moss biodiversity and function will change in relation to climate and grazing. This PhD will therefore use the powerful solution of spatial analysis utilising the natural heterogeneity of tundra
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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participatory analytics that integrates climate and health data, intersectional multi-level analysis of vulnerabilities, and participatory action research. A central aim is to translate lived experiences
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. The project will include opportunities for both desk-based analysis of existing data and fieldwork. There are three specific objectives of this PhD project: (i) Testing the hypothesis that adults
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in spatial-analysis, optimisation and economic analysis, as well as contribute to the UK’s hydrogen economy. How to Apply: Please see this link for information on how to apply: https
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for Applications for PhD Research Grants The University of Coimbra