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) thesis students. What do you have to offer A promising candidate has proven affinity with cognitive AI research, experience with data collection (including eye-tracking and/or neuroimaging) with people (in
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training data, when these are available, and also to learn from real-time, potentially non-IID, streaming data; should be able to track the evolution of key features and achieve model plasticity while
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . A PhD track at Radboud University gives you room to follow your own interests and
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strong background in statistical inference Experience with the validation of Earth Observation products Strong programming skills, preferably in R/Python or similar. Excellent English communication skills
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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interested in doing causal inference in policy-relevant research, and working with large administrative data. Job requirements We welcome PhD candidates who aspire a career in research. To become one of our
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Engineering, Biomedical Sciences, or a related field. Excellent academic performance – You have an excellent academic track record, ranking among the top performers of your cohort. Theoretical knowledge – You
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sensing, engineering, or a similar relevant field. Demonstrated experience in applied machine learning. A background or strong interest in probabilistic machine learning, causal inference, or time-series