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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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at 23:59 hours local Danish time The position is funded by the German Research Foundation (DFG), project “Abstract Techniques for Programming Languages and Secure Compilation”. The project builds
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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from related projects at DTU-Bioengineering (https://biocat.ncsu.edu/) and researchers from the private sector. Overall, you will become part of a high-energy, supportive, and inclusive work environment
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of conventional fossil fuels. Solid oxide electrolysis cell (SOEC) is one of several different electrolysis technologies, which holds merit in terms of high efficiency and potential to reach low cost. For SOEC
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, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics. Technology for people DTU develops technology for people. With our
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fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon
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the optimization of bioactive compound extraction from various seaweeds for the development of fortified foods. This PhD position aims to (i ) identify suitable seaweed species for high-yield protein extraction, (ii
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, who’s focus is high-resolution profiling of respiratory mucosal immunity in vaccine responses using transcriptional and spatial platforms (VAXXAIR). The VAXXAIR initiative (funded by Novo Nordisk