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Description The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some
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Description The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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competitive doctoral programme provides cutting-edge methods and advanced theories in the hub science Psychology of Transformation as well as the following 5 interdisciplinary Key Subject Areas: Climate Futures
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one
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, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function
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the traffic flow. The project will build on multidisciplinary methods from traffic flow theory, dynamical systems, and optimal and cooperative control. These methods include accurate detection of queues and
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. Applicants must hold an excellent master's degree (MA, MSt, or MSc) in one of the aforementioned disciplines or be very close to completion. Very close to completion means that the Master’s thesis must have