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platform for large-volume 3D microscopy of ex vivo mouse tissue, called chromatic multiphoton serial microscopy (ChroMS) (Abdeladim 2019, doi.org/10.1038/s41467-019-09552-9; Blanc 2023, doi.org/10.1021
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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nanostructures. You will fabricate your own samples in the clean room (thin-film deposition, electron-beam and photolithography, and SEM/FIB-based 3D nanostructuring) and probe their static and dynamic response
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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. The mechanisms governing the growth of Sn on InAs and other III-V semiconductors remain poorly understood. Imaging Sn/InAs interfaces at atomic resolution using a transmission electron microscope (TEM) gives
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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have enabled rapid progress in many fields of engineering and science. In many modern applications, particularly in advanced 3D imaging assisted characterization, sensing, simulation, vast amounts
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: inverted-microscope imaging, organic-matter localisation, X-ray tomography (CT-scan) before and after dissolution. • Design and run CaCO3 dissolution experiments: O2 flux and pH measurements using
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren
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characterising 3D primary spheroid models for MCL, DLBCL, and Richter syndrome using patient samples from in-house biobanks. Implementing and fine-tuning state-of-the-art AI image segmentation models for automated