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- Wydział Matematyki Fizyki i Informatyki UG
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benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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Large Language Models (LLMs). The position will also involve creating quantitative evaluation frameworks to assess the quality, realism, and reliability of generated data, as well as integrating graph
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total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas
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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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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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, bipolar disorder and controls. Prepare reports and scientific articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research
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of Complex Networks, is funded by WASP, the Wallenberg AI, Autonomous Systems, and Software Program. Here, we use systems and graph theoretical tools to describe dynamic behaviors of large-scale interconnected
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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