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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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/or spatial multiomics, advanced imaging, iPS cells, machine learning, and computational biology. The ideal candidate will have a passion for addressing fundamental questions in biology and an eagerness
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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outcome is the design of methods, techniques and their prototype to implement trusted PQC migration. The potential benefit is to enhance the security of Australian critical infrastructures against quantum
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for probing the atomic world. Co- supervisors are typically collaborators from within the Physics of Imaging group. Example project areas are: Developing ways to image atoms in space, energy and time Designing
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TotalEnergies. You will be enrolled in DTU’s Section for Oceans and Arctic and assume a dual role: (1) Systems Engineer able to design and prototype an integrated in‑situ observing platform that supports marine
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-Voltage (IV) curve, Dark IV, Electroluminescence (EL), UV-Fluorescence imaging (UVF), Infrared (IR) imaging). Material characteristics (X-ray Photoelectron Spectroscopy (XPS), Fourier Transform Infrared
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Department: Molecular Imaging – Pathology – Radiotherapy – Oncology Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking