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Add to My Favorite Jobs Email this Job Hiring Department University of Missouri-Columbia College of Arts and Science Department of Chemistry Assistant Professor - Molecular Imaging and Theranostics
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100%, Zurich, fixed-term The X-ray Imaging Professorship develops advanced imaging techniques at the synchrotron and strives at the translation of novel imaging approaches to medical devices in a
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researching on improving optical inspection and measurement systems towards higher performance (speed, resolution), robustness and flexibility. We cover the whole data processing chain - from image capture
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on end-to-end incoherent holographic imaging. The research will be carried out in close collaboration with the ETRO research group at VUB and the National Institute of Information and Communications
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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science or Physics You have developed a keen interest in medical imaging physics, signal and data processing Very good programming skills (C, Matlab/Python, TensorFlow/PyTorch) and a passion for both theoretical and
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will develop custom ASICs for major Laboratory projects in the fields of high-energy physics, nuclear science, scientific imaging, and beyond. You will collaborate with interdisciplinary teams to design
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reconstruction, processing and quality-control tools in a transparent and reproducible way. You will have the opportunity to: Develop a modern, open and extensible software ecosystem for optoacoustic image
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for energy-efficient thermal systems. The position focuses on the development, optimization, and characterization of engineered surfaces and surface treatment processes to enhance heat-transfer performance
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STFC - The Science and Technology Facilities Council; | Harwell, England | United Kingdom | 20 days ago
data-processing workflows. You will work on analytical and computational methods, including advanced microscopy image analysis and automated cell detection. The post also involves supporting preclinical