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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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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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for the topics of study: subjective experience, sensory processing and individual differences. You have experience with quantitative experimental design and statistical analysis. You have an affinity
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complemented with statistical and mathematical modelling to arrive at a systems level description and understanding of complex biological systems and problems. For this reason, we are looking for a new, dynamic
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experimental molecular biology laboratory. We believe that AI and Machine/Deep learning can be complemented with statistical and mathematical modelling to arrive at a systems level description and understanding
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, wireless communications, and detection and estimation theory (statistical signal processing). Knowledge of radar signal processing and/or coding theory is desirable. Proficiency in English (written and