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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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Science Centre (OPUS). The project aims to develop and study GEM-type gas detectors with dedicated electronics for data acquisition and processing. The role involves analysing and processing data from multi
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research institutes and industrial companies; Personal and professional development with diverse range of tasks and challenges. Contact: The application documents in electronic form should be sent to: dr hab
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Centre (NCN). The Principal Investigator is Dr. Eng. Piotr Kopka, email: Piotr.Kopka@ncbj.gov.pl Project description: The project aims to develop a new class of inverse Bayesian models called STE-EU-SCALE
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from LHCb experiment at CERN and creative participation in research on symmetries at high energy, participation in data taking, design and development of new software for the detector and analysis
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the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG). The IMPET project aims to develop innovative, AI-enhanced solutions for industrial
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the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG). The IMPET project aims to develop innovative, AI-enhanced solutions for industrial
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is formed through a partnership between NCBJ (Poland), CEA (France) and VTT (Finland). NOMATEN focuses research on the characterization, analysis and development of advanced multifunctional materials