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8 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Finance Research Field Economics Computer science Researcher Profile Recognised Researcher (R2
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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about the faculty here . About the research project We are seeking a highly motivated postdoctoral researcher to join the QuantuMRI programme, funded by the Novo Nordisk Foundation’s Interdisciplinary
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’ responses to these market changes focusing on the GPs’ financial and altruistic motivations (survey data) and their impact on patient care (register data). This project contributes with important knowledge
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interfaces and cause irreversible degradation. Understanding and mitigating the impact of dynamic operation and impurity-induced cell degradation is therefore critical for ensuring long-term durability and
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
. The position requires close collaboration both with national and international partners, as well as contributing to dissemination activities in high-impact journals and conferences. Your competencies We
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of analytical protocols and wet lab experiments investigating microbial metabolism and interactions. Strong writing and communication skills. Publications in high impact journals. Able to work both independently
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business School
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core