72 maynooth-university-programmable-city-project Postdoctoral positions at Technical University of Denmark in Denmark
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Job Description We are pioneering true 3D culture of human liver models by high-resolution 3D printing to transform disease modeling and drug development. Join a project combining next-generation 3D
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are looking for a Postdoc with experience in the areas of Biomass Conversion and Fermentation to start the activities from the 1st of October 2025. The candidate will work on a project focused on recovering
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of Applied Mathematics and Computer Science of Technical University of Denmark (DTU) is opening two exciting opportunities for Postdoctoral positions in Business Process Management. We search for a profile
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. Responsibilities and qualifications The overall aim of the project is to generate new knowledge about how emerging generative AI tools – such as Copilot, speech-to-text systems and retrieval-augmented generation
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supervise BSc and MSc student projects and co-supervise PhD students; As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized
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Chemistry at the National Food Institute, Technical University of Denmark (DTU). This is a full-time position within a dynamic and impactful environment where scientific excellence directly supports European
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and Biomedicine, Technical University of Denmark. You will work on regulatory mechanisms of cell signalling downstream of Receptor Tyrosine Kinases using mammalian cells grown in 3D cell cultures and
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mechanisms, and the design and formulation of entirely new technologies and development of faster and more reliable test methods. Functional coatings Functional coatings, in addition to protective and
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activities. With this opportunity, you will be offered: A two-year contract at DTU with excellent opportunities for extending your role through successful fundraising and ambitious project execution. Direct
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we