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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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, human evolution, and communication. You have experience in data analysis, visualizations and programming in R and/or Python. You have experience in, and aptitude for, complex statistical modelling (inc
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researchers at the University Centre for Psychiatry. The PhD candidate will work on a philosophical project that covers philosophy of science, statistics and data science, and psychopathology. The PhD project
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://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ). Good command of Dutch. Strong digital and quantitative skills (e.g. GIS and statistical skills
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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, articles and reports. You will then derive and compare statistical and mechanistic relationships. As the lead author, you will publish your results in scientific journals and present your main findings
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, articles, and reports. You will then derive and compare statistical and mechanistic relationships. As the lead author, you will publish your results in scientific journals and present your main findings
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-resolution, open-access climate projection ensembles with statistical and machine learning-based resampling techniques (e.g., k-nearest neighbours) to simulate weather-dependent energy supply and demand
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information