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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The appointee will identify effective models of communication and promotion
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. To perform successfully in the position the appointee should have research and/or teaching experience in at least two of the following disciplines: spatial statistics and modelling spatial data-based
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | 2 months ago
chaudes naturelles des Pyrénées-Orientales, situées à la frontière entre l'Espagne, l'Andorre et la France. L'objectif est d'analyser et de comprendre leur variabilité spatiale (température, composition
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and air concentrations are measured and modelled Where to apply Website https://www.academictransfer.com/en/jobs/357793/phd-candidate-on-impacts-of-nit… Requirements Specific Requirements An MSc degree
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will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as part of the Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter) and
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machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly
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the importance of visual language, spatial thinking, material exploration, and conceptual development. Possess demonstrated knowledge of contemporary art theory, design principles, and the historical context of 3D
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Quantification and spatial analysis of immune biomarkers (e.g. TILs, immune subpopulations) Development of AI pipelines for automated analysis of whole-slide images Predictive modelling of relapse and metastasis