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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
building and infrastructure construction settings focusing on multi-user interaction, pro-actively engaging safety benchmarks, and High Energy Control Assessment (HECA) simulation and tracking. It is notable
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objective of this PhD position is to advance research in statistical signal processing and machine learning for microphone array data, with a focus on sensing under uncertainty. The successful candidate will
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redundancy in brain signals elicited by acoustic stimuli. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between
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validated in half-cells and full working batteries at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and
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central objective, two vacuum-compression-molded (VCM) formats - subcutaneous implants and oral tablets (VCM tablets/compacts) will be systematically compared; controlled thermal histories in VCM
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development. The PhD position will focus on the topic of “Left-behind places and entrepreneurial mobilization”. The objective of the PhD project is to contribute to the question of how structural changes
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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and training with a focus on rural entrepreneurship and development. The PhD position will focus on the topic of “Left-behind places and entrepreneurial mobilization”. The objective of the PhD project
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(Python preferred) for bioinformatics or data science applications. Demonstrated track record with single-cell technologies (experimental and/or data analytics). Approval and Enrolment The scholarship
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. The objective of the PhD study is to investigate and address key research and design challenges, including but not limited to: Efficient communication models within timing constraints in quantum applications