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-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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, and investigate their RNA cargo, cellular uptake, and intracellular trafficking in recipient cells. The work spans biochemical and molecular characterisation using single-vesicle tracking, nanoparticle
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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and disseminating ethnographic fieldwork an internationally oriented research profile, as documented by a PhD dissertation and/or research publications experience in independently managing research
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using the COM-B model and Behaviour Change Wheel across three phases – baseline measurement, pre/post pilot assessment, and longitudinal tracking. Collaborating with technical partners (e.g. on digital
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computer science, explainability is mainly evaluated through data-driven metrics. While they provide some insights for developers, it is unclear whether existing metrics track any ethically relevant properties
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monitoring, control and predictive analysis during experimental operation. Both positions include reporting and publication of the results, and the opportunity to contribute to the supervision of PhD and MSc
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. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology, cell biology or related fields. You should be experienced in cellular
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significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics