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data analysis, manuscripts preparation Where to apply E-mail mmankowska@amu.edu.pl Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications a)PhD
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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This is a fixed term post for 3 years. Oxford Brookes University is seeking to recruit a PhD Fellowship (postgraduate research assistant) to work as a member of the AGILE consortium (Advanced
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 11 minutes ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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Multivariate statistical analysis of community and environmental datasets Spatial analysis and georeferencing of ecological data using GIS Development and implementation of species distribution models