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material technologies - this PhD position offers a unique opportunity. As part of MET2ADAPT, you will investigate some of the most challenging and high-impact questions surrounding the validation
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, in planta performance, and in-field evaluation. DTU will host the laboratory phase of the pipeline, harnessing advanced robotic workflows and high-throughput screening technologies. Field trials and
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
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more than 300 employees with competencies in electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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join us. At DTU Chemical and Biochemical Engineering, you will operate at the forefront of computational modelling, integrating high‑fidelity CFD with advanced compartment models and modern data‑driven
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role is part of our commitment to advancing DTU Chemical Engineering as a world-leading department in chemical and biochemical product technology, with a special focus on sustainable, high-performance
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that project timelines and progress are defined, managed and tracked, and software deliverables coordinate Regular coordination with staff, including performance development Fostering team motivation through
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to demonstrate electrically injected nanobeam lasers that use sub-wavelength light confinement to enhance light–matter interactions. The goal is to achieve low laser thresholds together with high efficiency and