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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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The Cell Microscopy Core at UMC Utrecht is an expertise center for microscopy at the subcellular, cellular and tissue level. CMC provides advanced imaging services combining fluorescence, live-cell
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, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature of the research groups
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directly to the upstream swt-initiative31/skija prototype, focusing on: rendering logic. layout behavior. and basic widget implementations. In parallel, they will evaluate how the Skija backend could be
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myeloma, as well as to understanding immune aging processes, through comprehensive functional, phenotypic, and genetic analyses of large, dedicated patient biobanks. To elevate our research to the next
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/Julia) are essential. Ideally, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature
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protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in
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system performance and calibration. This also involves the development of prototype SAR and SAR interferometry (InSAR) data processors and the Calibration and Performance Analysis Facility (CPAF). Sentinel
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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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BioImaging Infrastructure (NL‐BI) is a nation-wide initiative that enables and supports scientific breakthroughs in bioimaging across experimental models and imaging modalities. NL-BI provides researchers with