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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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a dynamic, growing team in the field of enzyme and protein design Collaborate in the context of a prestigious DFG Priority Programme (SPP2363) Enjoy a vibrant scientific environment at the Weinberg
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of life processes while at the same time exploring new frontiers of physics. Research topics include biomolecular structure and dynamics, biological membranes, the underlying cytoskeleton, motor proteins
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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management Why Join Us: Be part of a dynamic, growing team in the field of enzyme and protein design Collaborate in the context of a prestigious DFG Priority Programme (SPP2363) Enjoy a vibrant scientific
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
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Holocaust & Remembrance All research groups offer members a dynamic think tank structure that facilitates taking up new developments rapidly. Therefore, the GCSC always welcomes individual initiative
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collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are communicative, flexible and able to work under pressure
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candidate that supports us in developing Gaussian processes based models with structure preservation in port-Hamiltonian systems. A PhD position is currently available in the Collaborative Research Center