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No Department(s) Mathematics and Computer Science Reference number V32.7436 Job description Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface
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models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic interpretability and
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent
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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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will supervise the mechanistic aspects of the project.•Dr. Douwe Molenaar, associated professor is an expert in microbiology, bioinformatics and multivariate statistics. He will supervise the data-driven
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or agile approaches. You are confident in qualitative and quantitative research methods, data analysis techniques and inferential statistics. It is an advantage if you are familiar with the process of
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quality, sensor data, modeling Supervisory Team: University promotor and co-promotor: Prof. dr. Karel J. Keesman (Mathematical and Statistical Methods – Biometris, Wageningen University and Research) Wetsus
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are looking for an enthusiastic team-player, who: Has a PhD in the field of neuroscience or related fields; Enjoys and has extensive experience in advanced data analyses and statistical inferences; Enjoys and