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will be based at DTU Nanolab, where we conduct cross-disciplinary research and apply micro- and nanotechnology to a wide range of scientific disciplines and applications. The Biomaterial Microsystems
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teaching, conduct an external research stay, and disseminate your research through publications. Qualifications You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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. The division conducts research and teaching in the field of traffic and transport behaviour and planning, with particular focus on behaviour modelling, machine learning and systems modelling and simulation. DTU
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the microstructure from the AM process to the fatigue behavior. The position will involve active collaboration with international research groups working on the simulation of corrosion of metal AM, as well as close
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to assess performance, efficiency, and dynamic behavior under fluctuating input power. Synthetic Fuel Synthesis: Investigate catalytic and process parameters for ammonia and methanol production using green
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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, local Danish time. Research Project You will conduct a research project with the aim to understand the molecular mechanism that allows the transition zone (TZ), a conserved protein complex with unknown
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will be involved in exploring the models, designing, and measureing CMOS-based interface (coherently control, readout, and biasing) to quantum bits: Conduct a thorough review of recent research in
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function