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the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English) Very good
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling
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group including: The impact of the built environment on mobility Travel behaviour Active travel and micro-mobility Urban logistics Inequalities, both between socio-economic groups, but also spatial
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experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
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per month. Job description You will mainly work on cleaning data sets and conducting statistical analysis in preparation for academic publications You will also be responsible for visualizing results
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and statistical methods to detect and characterize trait-associated sequence variation from short and long-read sequencing data. We are looking for a motivated researcher who is eager to work on cutting
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found here . Your profile You must hold a PhD either in Mathematics, Theoretical Computer Science, Statistics, Theoretical Physics You must have a strong background in Probability Theory. Individuals with
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of evolving cooperative behavior given experimentally determined spatial structure in the gut microbiota. The project is theoretical, relying on mathematical modeling and simulation. The position is funded
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different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models to project future forest