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longitudinal, personalised fracture-risk trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models
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mechanisms Analyze imaging data using quantitative and computational approaches Perform spectral flow cytometry and standard bioinformatics analysis of single-cell and spatial transcriptomics data
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Quantum Processing (AQP) group , led by Prof. Konrad Viebahn, at the Institute for Quantum Electronics within the Physics Department (D-PHYS), ETH Zurich, is seeking a highly motivated Doctoral
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complete embedded systems, from sensor and processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine
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Foundation. Profile A Master’s degree in civil engineering, geomatics, computer science, or a related field A strong background in machine learning, computer vision, or 3D point cloud processing, as
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therefore highly beneficial Experience in one or more of the following areas is advantageous: Micro- and nanofabrication, lithography, etching, thin-film processing, or cleanroom work Integrated photonics