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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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their acquisition, processing, and analysis, knowledge of environmental and spatial data formats (including netCDF, GeoTIFF), proficiency in GIS tools (ArcGIS, QGIS), knowledge of statistical methods and time series
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. The applicant is expected to actively perform analysis of spatial transcriptomics and immune clone data, and present results to general and specialized audiences. The data-driven life science initiative Data
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collaborate with colleagues to perform project tasks and work together with other PhD students in developing spatial modelling approaches Where to apply Website https://www.academictransfer.com/en/jobs/360192
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, or a related field; Excellent publication record, with preference for topics in 3D photogrammetry with drones, spatial ecological analysis, and remote sensing applications to the marine and coastal
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amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: https
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, or probabilistic modelling. Familiarity with HPC or cloud-based analysis workflows. Experience with immunological datasets or spatial tissue profiling is a plus. We offer: An international cutting-edge research
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in policy and decision-making. In this PhD, you will contribute to a new generation of spatially explicit models and assessments that capture these feedbacks across spatial and temporal scales
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one or a combination of the following: quantitative analysis, modelling, spatial analysis, optimisation, forest restoration, ecosystem services valuation, policy analysis, market design, or
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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