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, remote object ranging and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and
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knowledge or acquaintance with digital image processing People skills : - Taste for team work as part of a large international project - Good communication skills Additional comments Paid vacation up to 55
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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instrumented building models (impervious and with openings). Experiments will use Phase-Detection Probes, high-speed imaging and force/pressure measurements to simultaneously capture detailed air-water features
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imaging cameras in advanced silicon technologies. Your work will push the boundaries of high-frequency sensing and integrated EM design. Job description In the Tera-Hertz Sensing (TS) Group at TU Delft, you
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Postdoc Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis