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design of more balanced datasets of structurally resolved modes of binding to train the next generation of artificial intelligence (AI)-based structure prediction tools. PhD Project: AI-assisted protein
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(current or prospective) Master's students who have achieved excellent results in their Bachelor's studies, and who pursue Master's level studies in Artificial Intelligence, broadly conceived. Academic
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medicine. What can be funded? Research visits for postdoc Chinese scientists and researchers. Duration of the funding 3-12 months Value Monthly scholarship rate of 2.100 EUR Combined health-, accident and
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results in their Bachelor's studies, and who pursue Master's level studies in Artificial Intelligence, broadly conceived Academic Requirements Master's students pursuing studies in Artificial Intelligence
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The programme is...
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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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innovation location for green hydrogen. Who can apply? PostDocs who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups: Production
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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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(SMART), which pursues research into Algebraic and Geometric Structures, Artificial Intelligence, as well as Detectors, Quantum Sensors and Accelerators The term of doctoral contracts is typically limited
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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