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Postdoctoral researcher MAKEBELIEF: Imagineering Religion and Religious Heritage in China - Meertens
interdisciplinary endeavors with other MAKEBELIEF team members. You will develop the case study as outlined in the project proposal, develop your own case studies and assist in management tasks in the project. Where
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the PI and the technical/data engineer to manage data workflows, ensure FAIR data practices, and translate raw measurements into robust scientific products that feed directly into QUASI’s data analysis and
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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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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is an advantage. Join us! We are looking for two independent, result-oriented, and ethically minded Postdoctoral Researchers who care about journalism and documentary-making, have strong expertise in
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flexible and driven researcher with a (recent) PhD, preferably in virology, veterinary sciences, or a related biomedical field. You are accustomed to working in an interdisciplinary team, learn quickly and
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consist of multiple interacting components whose therapeutic behaviour changes after administration due to biological interactions (protein corona formation, degradation, payload release). Current AI
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from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025-2031) advances
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capabilities, existing technology can only handle relatively small-scale problems. Information In the SymBi project (Exploiting Symmetries for Faster Bilevel Optimization Algorithms), we address this limitation