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at the section of Plant Pathology and Microbiology, where we combine fundamental and applied research within plant disease epidemiology, including evolutionary and molecular interactions between plants and
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, algorithmic approaches Digital technology and business-society relations Digital methods and knowledge production Digitalisation, security and risk More description of the department, research area or project
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staff scientists from the fields of macroecology, historical biogeography, oceanography, evolutionary biology, community ecology, population biology, climate change research, conservation biology and
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algorithms. Investigate the use of LLMs as agents or interfaces for querying building data and optimizing control parameters. Validate methodologies using real-world data from built environment monitoring and
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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, the Neutral Atoms team, the Spin qubit team, the Intra- and Inter-connects team and leads within the Applications and Algorithms team. Qualifications We imagine that you are assistant professor and that you
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algorithms. This work will be evaluated through simulations and with physical drones in mock search-and-rescue missions. This position will involve close collaboration with the PhD student at SDU who is
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, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning