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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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focused on syntheses of bioactive compounds of natural and non-natural origin, lead optimization, conjugation, e.g. to peptides or dyes for targeting and ADME studies, and on the completion of scientific
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offers access to state-of-the-art infrastructure and a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible
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research along the entire semiconductor value chain and on tailor-made synthetic diamonds. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser
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, interdisciplinary teams, value diversity of thought, and enjoy the freedom to explore novel ideas. You communicate fluently in English, both orally and in writing. We Offer: Access to an international network
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techno-economic optimization tool for district heating systems, which determines the optimal grid design and the size and operating times of all energy transformers and storages in the system. It enables
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management of factory operations. Based on many years of expertise in robotics, operational optimization and control systems, the Automation Technology division is opening up new fields of application
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A good command of written and spoken English The ability to work independently, along with a highly motivated and creative approach to research Demonstrated teamwork, cooperation and communication