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focus on (a) training-through-research, (b) knowledge sharing, and (c) developing novel materials for RB and SC and new workflows for effective recycling & manufacturing, as well as potential business
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significant efforts, therapeutics targeting MMPs have largely failed in clinical settings due to issues like poor selectivity across the MMP family and dose-limiting side effects. Recent advances in AI-driven
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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effects, kinetic details and the formation of C-C, C-O and C-N bonds are focus areas in our groups. Responsibilities In this project, organic chemistry in water using mild conditions will be explored
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Repositories and Issue Tracking Systems. Fluency in English is required. About the Department and the University Based in Odense, the Department of Mathematics and Computer Science offers an inclusive and
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available studies indicate that RL-MPC control strategies can result in significant savings in operational energy management for a building. However, the impact and scalability of these results for the large
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. You can communicate scientific topics clearly and effectively to both experts and non-specialists. Proficiency in English is required. You must be compliant with MSCA mobility rule: not have resided
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scientific topics clearly and effectively to both experts and non-specialists. Proficiency in English is required. You must be compliant with MSCA mobility rule: not have resided or carried out your main
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. The project offers a unique opportunity to contribute to both foundational research and practical applications. Your primary tasks will be to: Develop methods for streaming process mining of large-scale event