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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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(max 2 pages); Curriculum vitae (if applicable list any publications, statistical program skills, and/or other programming/coding skills); A writing sample demonstrating large-N, big data, data science
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through cutting-edge research? Are you a dedicated researcher in the field of business or organizational psychology with expertise in advanced methods and statistical techniques (e.g., longitudinal data
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analyses to explore potential pathways for behavior change and identify key factors that influence success. Applying machine learning, statistical techniques, and AI to analyze data, predict events, and
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, the department is actively engaged in advancing statistical models and software development for analyzing cross-sectional, longitudinal, and multilevel network data. The ideal candidate will be an early-career
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models, Taylor models, optimisation, and statistics. Scientifically, the candidate will, in particular: propose and perform research in the field of differentiable programming/intelligence, where
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statistics, in particular causal inference. You will research Bayesian causal inference for high-dimensional data, coming up with new methods and deriving theoretical results such as Bernstein-von Mises
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-based statistics, Computational Biology, and expertise in Analytical Chemistry, Biomedical Sciences, or a related field, would be a plus. The main required expertise and skills are Bioinformatics analysis
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical