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Field
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The successful applicant should/must have experience in nutrition epidemiology, preferably in aging, and in statistical analyses applicants who have experience also in independent Publishing of research results
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and sustainability issues. Experience in development of biofertilizers, including strain/consortium selection, formulation, application methods, and efficacy testing. Strong statistical analytical
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Joint degree / double degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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skills in experimental methodology, usage analysis, and statistical analysis. - Basic knowledge of AI - Ability to work in a multidisciplinary collaborative environment (leading meetings, planning
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sampling of zooplankton along environmental gradients Statistical analysis and interpretation of experimental data Publication of research results in peer-reviewed scientific journals Presentation
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PhD candidate with a background in quantitative genetics, animal or plant breeding, or statistical genetics. You will be employed for a maximum of four years at a newly funded NWO-AES project “Genetic
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or economic transformation knowledge of qualitative social research methods or quantitative skills (statistics, econometrics) will be highly valued. Experience with interdisciplinary and
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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to subsequently extract mechanical properties. • Statistical analysis of slip bands around indents and stress drops occurring during nanoindentation tests [5] with respect to lattice orientation, chemical