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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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them the slide drop off and pick up process. Run image viewing and processing software, including OlyVIA, Case Viewer and QuPath software (no prior knowledge of this software is necessary) and teach
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1 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Application Deadline 14 Jul 2026 - 23:59 (UTC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
contribute to the design, development, deployment, and operation of cloud-native computing environments that support research and data-driven projects at the Renaissance Computing Institute (RENCI
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of Physics, a division with around 100 employees where extensive research is carried out centered on various aspects of nanophysics, ranging from materials science to bio- and quantum physics to various
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, mechanical engineering, computer science, or a related field. Prior experience with computational imaging, Fourier optics, and optical system design is considered a strong asset; Programming skills (Python
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analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials
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, electronics, image and data analysis, chemistry, and biology. In this position, the successful candidate will work on the development of a novel three-dimensional single-molecule localization microscopy
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Selection process https://institut-imaging.univ-amu.fr/en/imacs-cofund-programme Website for additional job details https://institut-imaging.univ-amu.fr/en/imacs-cofund-programme Work Location(s) Number