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Field
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paradigm for quantum optimization with quantum computing (QAOA, Quantum annealing, etc.) Knowledge of quantum computing SDKs such as Qiskit or Pennylane We offer Multilingual and international character
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in geomaterials. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer
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stacking error and removes the options for easy disassembly for repair, replace or recycle. In this project modification of the cell end cap design is to be investigated through FE analysis, prototype build
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Experience in imaging or spatial omics data analysis Background in
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of the devices in the state-of-the-art DTU Nanolab cleanroom facilities using quantum dot imaging, lithography, etching and metal deposition. In both projects, the overall objective is to increase the efficiency
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for high-energy X-rays, thermal instability, or issues related to toxicity and cost. As imaging demands increase—particularly in fields like high-throughput synchrotron science, medical diagnostics, and
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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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than the actual DNA damage itself. In this project we will use innovative single molecule imaging procedures in combination with CRISPR-Cas9-mediated gene editing to for the first-time study the effect
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workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
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to contribute to our understanding of fire impacts on vegetation and carbon emissions in a rapidly warming Arctic. You will work on satellite image analysis and field inventories of ecosystem responses to tundra