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                Field
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                28 Oct 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Mathematics Psychological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher 
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                industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally 
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                at the University of Amsterdam is inviting applications for a PhD position in mathematical machine learning. The position is part of the research project “Mathematical Foundations for Explainable AI”, funded by 
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                FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Operation of a combustion test rig - Implementation of diagnostics - Analysis of combustion dynamics data - Scientific 
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                , Engineering, Mathematics, Psychology, Linguistics, and/or other relevant areas Previous experience in participating in research projects (e.g., data collection, analysis). Strong programming skills (Python 
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                ), 39.2 hours/week (100% position). The position is generally suitable for part-time employment. The Leibniz Institute for Prevention Research and Epidemiology – BIPS is one of the leading epidemiological 
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                datasets with phylogenies and environmental variables, the project aims to rapidly explore trait evolution, predict dispersal potential, and assess climate-related risks. This work bridges biodiversity 
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                . The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and 
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                for a motivated PhD student with a good knowledge of algorithms and theoretical computer science. The successful candidate will take part in the research and teaching activities at the Chair of Algorithms 
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                Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome