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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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spatial transcriptomics derived from rodent models or human samples. o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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Description: Apply Position Description Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College of Veterinary Medicine
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-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing different types of social and ecological
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) to model spatial patterns, as well as anomaly detection methods for identifying unusual patterns in time series data, with a focus on healthcare applications. Where to apply Website https://xup.di.uniroma1
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. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology, and the integration of telemetry, demographic, and environmental
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Postdoctoral Associate in Multi-omics analysis Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College