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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and
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., Python, C#, C++) and demonstration in the development of serious games (e.g., Unity, Unreal) is required, ideally for pedagogical use Solid background or interest in emergency response, construction safety
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relevant lists to ensure compliance with applicable export control and sanctions rules. Candidates will be asked to provide information about affiliation to high-risk countries for a security assessment
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, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source
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select technical industries. The analysis will focus on case studies from industries partnering with the project. This position is embedded in the Security, Technology and e-Privacy Research Group (STeP
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implementation for a chosen problem/task (linking to a public repository is easiest), that you are proud of; (if applicable) a list of publications; (if applicable) the names and email addresses of two references
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their relevance for food safety and human health. The PhD research is part of the EU-funded project “Arctic pollution in a One Health perspective - From complex challenges to sustainable solutions". The PhD will be
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security, aiding conservation and informing management policy. You will use advanced novel genomic approaches to assemble, annotate and explore the genome biology of a non-invasive and one of the most
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biodiversity data, stable isotopes, and oceanographic parameters from two unique time series of benthos and meroplankton in fjord ecosystems. In addition, artificial intelligence (AI) applications will be used
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems