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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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-performance virtual testing and cutting-edge digital technologies? Do you want to contribute to the scientific development of structural virtual testing and digitalization? A Tenure Track Researcher position is
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well as development of instrumentation, in particular high-energy instrumentation, i.e. X- and gamma-ray detectors and optics. The division is currently active in operation of instruments on and data analysis from
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine
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to design mRNA vaccines for buccal delivery with the purpose of inducing local mucosal immune responses in the upper airways. This is achieved by the use of hollow microneedles as administration
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manufacturing perspective to optimise product assembly. The candidate will gain theoretical knowledge and practical product assembly and quality management. The position is available as of 1 August 2025, or as
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technologies and data analysis as well as research management, oral and written communication and networking. Access to state-of-the-art equipment and facilities, e.g., sequencing, proteomics and bioimaging. A
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that enables cohesive operation of the design and production system. This position is part of the EIC Pathfinder Project AM2PM: “Additive to Predictive Manufacturing for Multistorey Construction using Learning
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Job Description Applications are invited for a 3-year PhD position in political science to be based at the Department of Political Science and Public Management at the University of Southern Denmark
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models