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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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to completion; excellent organizational skills; experience conducting empirical research; Statistical skills and command of standard software packages for analyzing data (e.g., R, Julia, Python, Stata), and a
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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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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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differences. You have experience with quantitative experimental design and statistical analysis. You have an affinity for programming (ideally in Python). Experience with fMRI, pupil dilation, eye-tracking and
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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
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educational technology. You will become part of the Department of Methodology and Statistics and will join an active research group in psychometrics. This project is supervised by dr. Maria Bolsinova, dr
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the research; Collecting postmortem MRI scans; Performing MRI data analysis and developing pipelines; Statistically analysing of MRI and neuropathology data; Writing scientific articles based on the results