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methods. Finally, the enormous number of decision variables (unknowns) with the proposed framework would lead to the computational complexity; and consequently, the derivation of exact optimal solution
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 17 hours ago
developmental stages. Their interactions can take many forms, ranging from mutual symbiosis to parasitic interactions. How these complex, multi-organismic networks are regulated by microbial communication is
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degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field ranging from the study of quantum phenomena to the conformational behaviour
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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special talent for networking, able to attract the best minds in Germany and from further afield.” After all, it is a well-known fact that excellence in research and teaching presupposes excellent
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interested in conducting mathematical research that combines its theoretical rigor and beauty with real-world applications, including climate and weather, the formation of opinions and neural networks
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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model of reaction barriers. This will enable the development of more accurate and advanced high-throughput reaction network discovery and by-product prediction. Background Typical drug molecules can
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net zero goals and the future of our planet. During their lifetime, those energy storage systems can experience complex electrochemical-thermomechanical phenomena that can result in their volumetric
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the dynamics for increasing system complexities implement and optimize the relevant quantum circuits on atomic and superconducting processors cooperate and actively work with experimental partners developing