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funded PhD scholarships (3-year employment) in a vibrant interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization for light trapping in thin
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months at the Technical University of Munich (Germany), gaining international research experience and expanding your collaborative network. As part of your research, you will: Design responsive-switchable
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment to contributing to
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in planning and executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment
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, international team with flexible work organization and support of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key