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processing, quantitative analysis, and alignment of functional imaging data with post hoc molecular information. A major part of the role is method development: identifying technical limitations
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PET tracer, and their ongoing (pre)clinical translation, Groningen is taking the lead in imaging of Gram-positive infections. This PhD project will focus on expanding this initiative to the imaging
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on their morphology. A step to optimise the image processing parameters, which will help to obtain average 2D classes, will then be necessary. Subsequently, it will be possible to verify the quality of the 2D classes
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representative, unbiased, privacy-preserving, and scientifically valid for (premarket) regulatory purposes. In this PhD project, you will investigate when and how synthetic medical imaging data can be used as
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the appropriate rank based on their education and experience. The broad criteria are noted below. Education The successful candidate must have the following degrees: A PhD or Doctorate in Medical Imaging, with a
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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/Absorption Spectroscopy preferred). Demonstrated experience with high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense
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3D Integration — Co-register and combine spectroscopic, spectral imaging, conventional imaging and 3D data acquired over common regions of interest.; • Data Processing and Machine Learning — Develop
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Connections (INTER). You can read more about the department at https://comm.ku.dk/ and about the section at https://comm.ku.dk/research/information-technology-and-connections/ Introduction to the PhD programme