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require development of advanced experimental and data analysis skills and will work closely with the Doctoral candidate working in Cambridge on data assimilation (https://www.imft.fr/dc10-arterial
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the conceptual, historical, and geographical scope of the analysis of human-reef relationships in order to propose systemic and operational management measures tailored to specific needs. We want to develop
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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learn about carcinogenic mutagens (https://www.biorxiv.org/content/10.1101/2023.12.06.570467v1 ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth (https
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statistical and epidemiological methods Working experience with data analysis software, such as Stata, SPSS, R, or Mplus Experience in spatial and temporal data analysis using GIS, including RStudio/Python
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from tissues for downstream analysis. Perform flow cytometry, histological analyses, and imaging-based ferroptosis assays. Analyze single-cell and spatial transcriptomic data in collaboration with
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inside and outside the department. Your duties: you develop innovative research using spatial analysis and modelling you teach in general and more specialized Environmental Science courses that are part of
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; Tasks may include data collection and cleaning, econometric and structural analysis, conducting literature reviews, and/or documenting data work with reproducible replication packages. Your profile Master
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of genomic findings. The analysis could include (but is not limited to) cancer driver discovery through genomic alteration analysis (e.g., structural variants), and spatial analysis. We are seeking a highly
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correctement les processus propres aux panaches. Leur résolution spatiale est généralement trop grossière pour résoudre les structures à l'échelle des panaches, ce qui entraîne une dilution et un mélange