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surprisingly little about how the brain converts another individual’s pain and distress into harm-aversion. In the NWO Vici project “Empathy, helping and aggression: unravelling the missing neural link”, we
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statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging models, graph neural networks. The specialist
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/the-computational-brain/ ** Duration and Dates ** * Initial duration: two years * Extension possible * Full-time post * Preferred starting date: October 2026 to January 2027 ** Project description Learning and
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for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
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applicant will work in close collaboration with Prof. Claus Lamm (Chair of Biological Psychology, head of the SCAN-Unit) and his team at the Social Cognitive and Affective Neuroscience Unit (SCAN-Unit
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for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
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how they choose, initiate action, sustain effort, adapt to changing contingencies and respond to acute stress. The project will collect synchronized streams of trial-level behavioral data, head/hand
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, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Quantum Mathematics, Biostatistics and Ecology, Computational
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required by your line manager and the Head of School, including contributing analytical support to other Centre activities as required. 18. Contribute to the enhancement of the University's international
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statistics have been a key element in your work. Experience with data handling and flexibility in using a wide range of statistical methodologies, both frequentist and Bayesian. Demonstrated proficiency in