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Large Data is common across materials science. Cross-correlating and understanding data from material surfaces is very important since there is typically a direct connection to physical properties. Also, it is very important to use this data to reconstruct the actual microstructure and perform simulations in a computer at the molecular or larger scale. However, understanding of Large Data requires the application of statistical and machine learning techniques. Further, simulations require efficient microstructural reconstruction techniques. Stefanos Papanikolaou's group at NOMATEN investigates such issues.

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It is worth adding that due to the development of software developed by the group of Dr. Papanikolau, the NOMATEN Center of Excellence is currently looking for employees for the positions of AI/ML expert, GUI developer and Desktop application developer.

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The aim of the NOMATEN Center of Excellence, established at the National Center for Nuclear Research, is to conduct research on materials resistant to extreme conditions (high temperatures, corrosion, radiation - especially neutron radiation). The materials tested and developed will be used in the nuclear, energy, chemical and other industries. The Center also deals with the development of modern radiopharmaceuticals for applications in cancer diagnostics and therapy. The partners of the project are Commissariat à l'Énergie Atomique et aux Énergies Alternatives from France (CEA) and Teknologian Tutkimuskeskus VTT from Finland. The NOMATEN Center of Excellence is financed by the International Research Agendas program MAB PLUS (Agreement number MAB PLUS / 2018/8) of the Foundation for Polish Science, co-financed by EU funds from the European Regional Development Fund under the Smart Growth Operational Program and the NOMATEN-Teaming grant for Excellence is implemented under the Horizon 2020 Framework Program of the European Union, contract number 857470.

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