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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
to improve the capacity of these microbes for efficient, high-yield bioconversions from CO2 and P2X feedstocks, such as methanol, formate, and hydrogen. Our ultimate goal is to prototype and develop next
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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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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
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energy-efficient CMOS blocks implementing SSM-based LLMs. Prototype hardware blocks on FPGA and prepare for ASIC tape-out. Benchmark performance and comparison with transformer accelerators. Work with
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. Erbium in silicon is currently subject to intense worldwide research [Berkman2023, Gritsch2025] because erbium is the only emitter that combines compatibility with semiconductors with long spin coherence
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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predictors in an efficient closed loop paradigm, to optimize the fitness as well as the information gain in each cycle. Responsibilities Propose AI models for an integrated approach for binder design, using
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-XFEL and ESS for advanced materials studies and is host for the 3D imaging center Plasma Physics and Fusion Energy working in international collaborations on realizing non-fossil-based energy
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Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international