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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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. 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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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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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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-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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… Requirements Specific Requirements You are an ambitious candidate with a PhD Degree in Physics, Physical Chemistry, Polymer Science, or a related field Have a strong interest in interfacial phenomena, soft
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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
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participatory mapping, interviews, ecological fieldwork, ethnography, arts-based methods and relation-based simulation modelling in transdisciplinary processes in order to examine ecological and socio-spatial
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the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD