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microbial species distributions respond to ongoing climate change. The four-year project will build on time series data on microbial biodiversity changes across large temporal and geographical extents, based
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation
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MXenes with engineered morphologies and to understand how these structural variations affect surface chemistry, defect distribution, and overall functional properties. This project offers an exciting
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hierarchies and incorporating more technical datasets such as geomorphology and metal detection finds into archaeological analysis researching into the complexity of the production and distribution chains
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Taxonomy, phylogenetics, distribution, morphology of animals with special focus on individual groups
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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation, regression, maximum entropy models). Where to apply
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation