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reflects the organic pollution load in water. Current COD determination methods are often discontinuous or spectroscopic and impractical for real-time application, limiting their utility in dynamic, data
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within the Institute of Theoretical Computer Science at TU Dresden. The main research area is the design and analysis of algorithms and data structures, with possible focus areas including randomized
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field • Is fluent in English • Is interested in finding innovative, creative solutions • Has good programming/data analysis skills • Is experienced or at least strongly interested in one
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of two references. Other details The position is to be filled as soon as possible. The PhD appointment is for a fixed term of 1 + 2 years. Master’s thesis (student assistant) in FAU or Germany is available
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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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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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the challenge of the projects. These key technologies drive forward the energy transition and structural change in the Rhineland region. Further information on our exciting projects can be found
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information about the positions and the recruitment process in the Call for Applications.
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theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current areas of research
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will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current