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train the machine to analyse images in a multifaceted manner. The knowledge harvested in this manner is immediately usable to improve the recognition quality of traditional HTR algorithms. We are looking
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attributes of scanned text images (layout, graphics). The ultimate goal is to realize AI systems with a deep understanding of what a document is about. The PhD researcher will work within the HAICu research
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PhD position in Artificial Intelligence for Cultural Heritage (V24.0281) « Back to the overview Job description Traditional handwritten text recognition (HTR) approaches ignore the multimodal
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into the fundamental and applied work performed in the Department of Medicinal Chemistry, Photopharmacology and Imaging at GRIP. We are looking for an enthusiastic and talented PhD candidate with a M.Sc. degree in
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studies, photochemistry and nano fabrication methods. The role of the PhD working in this position will be to design, synthesize and evaluate new light-activated molecules to deliver protein transport
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processes for the emerging field of time-resolved structural biology, fitting perfectly into the fundamental and applied work performed in the Department of Medicinal Chemistry, Photopharmacology and Imaging
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into the fundamental and applied work performed in the Department of Medicinal Chemistry, Photopharmacology and Imaging at GRIP. We are looking for candidates who meet the following requirements a PhD degree in
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. To this end, we are looking for a research technician with a PhD degree to strengthen our team in the field of Computer-Aided Drug Design (CADD). Your expertise in one or more computational approaches
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
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) and Dr. Geert van den Bogaart (Department of Molecular Immunology, University of Groningen (UG)). Two PhD positions are available, one at each institute. The UG candidate will utilize newly developed