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application phases. This will involve toxicological testing (e.g., cytotoxicity, mutagenicity) and evaluating microplastic release and ecotoxicity using standardized and novel methods (in collaboration with a
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Policy Implications and Recommendations Case Studies of Successful Innovation Funding Methods The project will employ a combination of methods, including machine learning (ML) and generative AI (GenAI
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
/P, HECA, pro-active real-time safety technology), and lean construction methods (e.g., TPTC, LPS, LBS) Familiarity and experience with building and infrastructure construction sector projects (e.g
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
, construction safety, health and well-being (PtD/P, HECA, pro-active real-time safety technology), and lean construction methods (e.g., TPTC, LPS, LBS) Familiarity and experience with building and infrastructure
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and what they mean for the system’s efficiency and safety. You will develop models of AI bidding strategies, analyze strategic interactions using game theory, and design optimization methods to identify
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sunlight, air and water. Electrodes are a central component of the novel bioelectrochemical platforms for energy harvesting and microbial electrosynthesis. Optimal design of the 3D geometry and material
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, health and well-being (PtD/P, HECA, pro-active real-time safety technology), and lean construction methods (e.g., TPTC, LPS, LBS) Familiarity with building, infrastructure, and/or off-shore construction
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties