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of Biology Position Summary: Performs bioinformatics analysis on RNA seq data from ataxia models Runs complex behavioural and imaging experiments Analyzes and interprets data Generates publications including
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, orthopedics, imaging, and novel surgical techniques, and researchers have access to laboratories, patient files, biobanks, digitally stored diagnostic images, and other infrastructure to support their research
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sophisticated image processing pipeline [M20]. It can also comprise a set of distributed sensors [R10]. Current smart vision systems embed optics, Complementary Metal-Oxide-Semiconductor (CMOS) sensors, color
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imaging, including CT and MRI scans, is critical in the management of nearly all types of cancer. These technologies are integral from the initial detection and diagnosis to staging, treatment planning
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and self-supervised learning. The research group The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both
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application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal
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and words and transcribe lines of text but also train the machine to analyse images in a multifaceted manner. The knowledge harvested in this manner is immediately usable to improve the recognition
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necessary to have ‘humans in the loop’, who not only label characters and words and transcribe lines of text but also train the machine to analyse images in a multifaceted manner. The knowledge harvested in
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controls strain localization at different scales in the Earth. To do so, we will develop a framework for modeling self-consistently strain localization in rocks deforming by ductile processes
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joint PhD between the two involved universities. The job will focus on the generation of reactive oxygen and nitrogen species in a non-thermal plasma environment that will be carried by hydrogels to treat