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: Data analysis - activities: data analysis, statistical analysis, spatial datawet analysis Where to apply E-mail Crystele.leauthaud@cirad.fr Requirements Research FieldAgricultural sciencesEducation
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data. This position offers an exciting opportunity to work at the intersection of cancer biology, spatial multi-omics, and artificial intelligence. More information: https://digitalhealth.tu-dresden.de
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GIS-based mapping and spatial analysis of the urban environment, as well as competence in data processing and visualization, is required. Experience in 3D modelling of urban form is also essential
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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dementia. The Bourdenx Lab at the UK DRI, led by Dr Mathieu Bourdenx, focuses on how age-related loss of cellular fitness in the brain drives neurodegeneration. Using cutting-edge spatial biology and single
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
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candidate for a project applying state-of-the-art high-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor
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of large spatial and temporal biodiversity datasets. Since almost 20 years the Rhine-Main-Observatory (RMO; https://www.senckenberg.de/rmo/ ) has been part of the German LTER network (https://www.ufz.de/lter
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio