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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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lead to a paradigm shift in the RNA field away from the currently rather unsuccessful “one size fits all” approach to a more target-centred approach where the nature of the binding site is taken
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necessary. Major tasks will include molecular biological work (e.g., in situ histochemistry, cloning, gene delivery and gene knockouts/knockdowns), imaging (e.g., confocal microscopy) and ctenophore culture
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discovery. We anticipate that this study will lead to a paradigm shift in the RNA field away from the currently rather unsuccessful “one size fits all” approach to a more target-centred approach where
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is crucial to advance RNA-targeted drug discovery. In addition, the project will deliver advanced starting points for antibiotic drug discovery. We anticipate that this study will lead to a paradigm
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) that employ artificial intelligence (AI). Central AI techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate
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techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate application areas such as digital multimedia forensics, decision
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engineering. The group studies the foundation, development, and evaluation of information systems (IS) that employ artificial intelligence (AI). Central AI techniques for us are deep learning, image analysis
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processing and analysis of microscopy images. Experience with characterization of pathogenic protein variants. Desired personal characteristics: High learning capacity and curiosity and takes responsibility
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of mammary cells, 2) genotyping and analyzing transgenic mice 3) experience of advanced microscopic imaging of cultured cells, is desirable. The candidate should be able to work independently and in a