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organoid model systems and corresponding assays as powerful tools for understanding health and disease. As one of the investigators on this project, you will develop 2D and 3D image analysis pipelines
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service to society, within the institution and externally. Education You will provide high-quality education in Digital signal and image processing. Profile You hold a PhD in Sciences. You can demonstrate a
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/Nanotechnology/Computer Science/Machine Learning Good expertise in programming (python, C++) and a basic understanding of algorithms and image processing Experience with electron microscopy is a plus Knowledge in
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(including clinical, biological, imaging and time series data). In particular, we are interested in new AI models which can learn from synthetic data and from imperfect data, but once applied in real-world
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. The successful candidate will collect and process codicological data of New Testament bilingual manuscripts in Greek, Coptic (Sahidic, Bohairic) and preferably also Arabic, including conducting searches in library
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. The successful candidate will establish, compare and investigate significant so-called Western readings and their textual history across languages. collect and process codicological data of New Testament bilingual
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Analysis with Complex Terrain) on the development of simulations and a prototype to analyze the ride quality on complex terrain, we are looking for a full-time researcher with a master’s degree in Applied
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of Medicine and Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of Advanced human lung imaging Position You will work actively on the preparation and defence of a PhD
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tool based on biological and radiological MRI imaging features. The aim is to develop a stratification tool that can be implemented later on in the clinical radiotherapy workflow of head and neck cancer
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and Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of Advanced human lung imaging Position You will work actively on the preparation and defence of a PhD