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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
coding (e.g., 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
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with multiple people working on similar problems with different professional and cultural backgrounds. You are therefore a talented, self-motivated, and team-oriented person who enjoys working
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/ Street Oersteds Plads Building 347 Postal Code 2800 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
), serious gaming, agent-based simulation, knowledge of relevant research methodologies and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g., Python, C#, C++) and
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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oxidation and disinfection processes. Work together with researchers at multiple departments at DTU and NTNU Research activities will mainly be carried out at DTU Sustain with research visits in Norway
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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally