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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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, 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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-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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similar field; expertise in programming skills and statistical data analyses, including machine learning; affinity with environmental exposure modelling and high-performance computing; strong reporting and
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an enthusiastic and collaborative colleague and meet several or all of the following criteria: a Master's degree in Data Science, (Computational) Epidemiology, (Medical) Statistics, or a similar field; a strong
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recruiting participants, to conducting ego-centric network studies and experiments at Dutch schools and Dutch companies); You will use advanced statistical methods to process and analyze data (e.g., social
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limit, we see continued opportunities with our strategy of using statistical research to outsmart the competition. Job description As a Quantitative Researcher, your focus is on identifying trading