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solid background in quantitative data analysis; preferably experience in multivariate statistical analyses of micro-level data. - Qualitative research skills. - Good writing skills and fluency in written
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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, with a clear path to methodological and applied impact in healthcare. Your qualities A Master’s degree in epidemiology, (bio)statistics, health data science, or a related discipline; a strong foundation
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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Dynamical Systems; Probability Theory; and Statistics and Data Science. There are many collaborations between the themes. More information about the Mathematical Institute can be found here . Terms and
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patients. The candidate will work closely with a multidisciplinary team consisting of colleagues from biomedical sciences, medicine, bioinformatics, and statistics, both within and outside UMC Utrecht
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empirical research, particularly experiments, and is comfortable with advanced statistical analyses (experience with R is recommended) possesses excellent academic writing skills in English is sociable, open
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Statistics (AISTATS), vol. 238, pp. 550-558, 2024. H. Fokkema, T. van Erven and S. Magliacane. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added