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algorithms model major sources of experimental error for control theory or co-design methods Previous works can be found under the bibliographies of Dr. Felix Motzoi and and Dr. Matthias Müller: https
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F
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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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, mathematics, or a related field Very good skills in the English language Strong background in at least one of the fields relevant for research at ConVeY: Control theory Formal methods in computer science
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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density within these films, together with a non-uniform distribution of counterions and specific ion effects but there is no direct evidence supporting this theory. The task of this job is to investigate
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Environmental Physics 2. Solid State Physics Electron Microscopy Semiconductor Epitaxy Semiconductor Optics Surface Physics 3. Theoretical Physics Complex Systems Solid-State Theory Semiconductor Physics
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young scientists is an excellent educational programme covering all relevant aspects of scientific inquiry, including training in experimentation and theory. A specific feature serving as both an asset