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-high-resolution lithographic processes: You will explore and refine unconventional electron-beam resists (e.g., HSQ, metal fluorides, alkali halides) to reliably achieve robust pitches below 15 nm
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Planning (PtD/P), risk assessment, and safety compliance checking processes, and (b) new performance requirements and measurement (metrics) for both lean and safe workflow planning and scheduling. In
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universities, and three research and technology organizations. This PhD project is focused on glass cutting, where large, laminated glass panels are cut to sizes for window production. The process involves pre
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-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from weathering and erosion
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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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the monomers are reversible, making these polymer materials adaptive, healable, easy to process and recyclable. In this project, you will explore new types of stimuli-responsive supramolecular polymers
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bioinformatics, AI and ML software tools to integrate and process the datasets quickly and efficiently. You will also work closely with other computational and experimental biologists to uncover new insights
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Grant LUMIN. This cutting-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Prevention through Design and Planning (PtD/P), risk assessment, and safety compliance checking processes, and (b) new performance requirements and measurement (metrics) for both lean and safe workflow
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co