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- Wydział Matematyki Fizyki i Informatyki UG
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vibrations), and structural (migration of atoms) effects with an atomistic resolution. This can be achieved by self-consistently coupling molecular dynamics (MD), density-functional theory (DFT), and quantum
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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times of Markov chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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programming languages such as Mathematica. 4. Advanced knowledge of mathematical tools and basic knowledge about classical networks including graph theory highly appreciated. 5. High motivation to conduct
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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processing: EEG. Brain connectivity. Graph theory. Professional Experience: Participation in multidisciplinary teams with doctors and engineers. Have carried out experiments with TMS and recording of EEG
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postdocs and three PhD students with complementing competences. In this call, we are looking for one postdoc who is mathematically oriented, with strong background in systems theory and control, and one