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- Czech Technical University in Prague
- MASARYK UNIVERSITY
- Institute of Computer Science CAS
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Field
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the field. Future collaboration capacities (networking), expecially in the area of grant applications. Length of experience required experience in the field of English language and literature at least 3 years
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development. Specification of the candidate's international profile Long-term collaboration with international experts in the field. Future collaboration capacities (networking), expecially in the area of grant
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Technologies (KET's) centre. CEPLANT is also included on Roadmap of Large Research Infrastructures of the Czech Republic. CEPLANT boasts a rich network of cooperating institutions in the world. Cooperation with
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adjustments due to changing exchange rate. Example: a single researcher would get approx. 55 000 CZK as net salary The offered salary is equivalent to the standard MSCA individual postdoc award, and it is
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adjustments due to changing exchange rate. Example: a single researcher would get approx. 55 000 CZK as net salary The offered salary is equivalent to the standard MSCA individual postdoc award, and it is
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children. All rates subject to adjustments due to changing exchange rate. Example: a single researcher would get approx. 55 000 CZK as net salary The offered salary is equivalent to the standard MSCA
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collaboration with groups at CERN and the nuclear chemistry department at CTU. Note that this call is only for funding. Students also have to apply to our PhD program (Nuclear Engineering, see details at https
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fitting method has to be implemented, e.g. using KAN neural networks. Note that this call is only for funding. Students also have to apply to our PhD program (Nuclear Engineering, see details at https
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to e.g. employees with children. All rates subject to adjustments due to changing exchange rate. Example: a single researcher would get approx. 55 000 CZK as net salary The offered salary is equivalent
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approaches such as physics-informed machine learning (PINNs), graph neural networks for lattice structures, and neural operators for fast surrogate modeling, as well as AI-driven inverse design and generative