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, the project implements an approach combining social, institutional, and digital history across three work packages: (i) Communities, (ii) Hierarchies, and (iii) Infrastructures. To operationalize its approach
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-efficient accelerator architectures by designing digital and mixed-signal blocks for SSM inference in edge-AI systems. The successful candidate will explore novel SSM architectures that support sequence
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-design SSM-inspired spiking neural network (SNN) cores and integrate them with a low-power RISC-V processor. The PhD candidate will develop spike-based computing blocks and explore hybrid analog/digital
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PostDoc in the project). Collaborating with fellow researchers across the UPLIFT network, including those focused on digital twins at DTU Chemical Engineering- As a PhD candidate, your work will adapt
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the design and verification of digital systems, including chip design. Embedded Systems Engineering (ESE) is one of the 10 research sections at DTU Compute. Our mission encompasses the creation of insights
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than RGB will be actively researched. Exploring 3D canopy modelling and plant growth dynamics for digital twin integration. Self-supervised learning will generate multi-modal agricultural pre-trained AI
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, you will join the Power-to-X and Storage (PtX) section within the Power and Energy Systems (PES) division. The PtX section combines multidisciplinary research in energy storage and flexibility, digital
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the opportunity you’ve been seeking. Join us to tackle some of the most intriguing and impactful challenges in the domain of wind energy, digitalization, and autonomous decision-making. We are looking for a
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Digital Twins for Wind-Offshore and GREAT: GRid Enhancement for Ancillaries in Tomorrow’s power systems, where you will interact with researchers and experts from TotalEnergies and many other research
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed