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collaboration with a PhD student at the faculty of Industrial Design Engineering of TU Delft. You will be working on the sensing system in the armband. This will include the sensing yarn, a microfluidics system
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to the deep-sea environment. You will apply a range of methods, including echo sounders, moored sensors, hydrophones, cameras, environmental DNA-analysis and remote sensing, in a balanced study design across
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, you will work on a DFG/NWO Weave Grant in collaboration with a PhD student, Dr. Claudia Fichtel (German Primate Center, Göttingen) and Professor Carsten de Dreu (University of Groningen). Your job
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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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two real-world care pathways using existing data and gold-standard LCA methods; supervising PhD candidates working on the quantification of environmental impacts in healthcare; contributing to peer
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of this role, you will: collaborate with PhD-researchers across several universities working on ECCO-related topics develop your own leadership style, whilst working together with your fellow-postdocs
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naturally leads to symmetric failure scenarios, which are reflected in BP models. However, current BP software can neither detect nor exploit these symmetries. As a result, despite BP’s strong modeling
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-source software, and help shape emerging methodologies for scientific AI and foundation models. Applicants should indicate a primary research track, although collaboration between tracks is expected. Track
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for a candidate who has: Hold (or complete by the date of appointment) a PhD or equivalent degree in economics, public policy, political science, or a related field Research experience or publications
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Nijmegen School of Management Application deadline 22 February 2026 Apply now Join Radboud