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a Research Infrastructure? No Offer Description What you will do As a Phd-candidate you will work on a four-year research project in the Methodology and Statistics Unit at Leiden University under
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and Statistics Unit at Leiden University under supervision of Dr. Tom Heyman , Dr. Anna E. van ‘t Veer , Prof.dr. E.M.L. Dusseldorp . In this project you will systematically examine the role, impact
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control problems in, for example, financial and energy markets, Collaborate with a team of experts in fields such as stochastic analysis, statistics, finance and computational science, Participate in
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"with memory" are of importance in several disciplines, such as for financial and statistical modelling. However, due to the correlation structure their computational simulation is very challenging
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learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic
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Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Fluency in R for statistical analysis. Experience with ecological fieldwork. Experience with stakeholder
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Are you a highly motivated student with a strong interest in statistical mechanics and soft active matter? The group of Dr. Sara Jabbari Farouji at the Institute of Theoretical Physics and part of
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staff position within a Research Infrastructure? No Offer Description Ready to make a real difference? Are you interested in applying cutting-edge statistical and machine learning techniques to develop
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statistical analysis techniques? Then we are looking for you to support our research team in the prestigious project HybridLabs: Accelerating Dutch innovations in offshore renewables through data-driven hybrid
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conditions; Good analytical, methodological, and statistical skills (e.g., SPSS, R) Interest in working with psychophysiological measures (e.g. standardized itch inductions such as applying histamine