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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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functionalized quantum dots and single-molecule fluorescence microscopy Develop novel microfluidic techniques for molecular separation using artificial intelligence Collaborate closely with international research
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, their achievements and productivity to the success of the whole institution. The School of Embedded Composite AI (SECAI), a DAAD Konrad Zuse School of Excellence in Artificial Intelligence offers, subject to the
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, their achievements and productivity to the success of the whole institution. As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig
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well as how protein binding evolves. Experimental approaches will not be able to close this knowledge gap in structural information soon. Artificial intelligence (AI)-based approaches gain huge momentum in
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tasks Basic and/or applied research in artificial intelligence and deep machine/reinforcement learning for optimizing quantum computing algorithms andcsimulation of quantum materials Development
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of plant development. You will work in an interdisciplinary team with postdocs from Jülich and Hohenheim. Your tasks Literature research and (meta-)analysis to provide evidence-based knowledge for model
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results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and PowerPoint very good written and spoken English skills self-motivated, independent and
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another institute very good knowledge of MS Office, including Word, Excel and PowerPoint very good written and spoken English skills self-motivated, independent and responsible working style and high