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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
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at international conferences. Engage in dissemination activities and gain teaching experience. Build a strong research network through collaboration with leading experts. The position is part of the Alliance project
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the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main focus will be
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope’ (REUNATECH). A short description of
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), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network to Doctorial Candidates, with a
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technologies. Responsibilities and qualifications The PhD project will focus on the design, synthesis, and characterization of new types of metal-organic network structures, which includes the detailed
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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
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. It is notable that this PhD scholarship is part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across
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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how