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- Institute of Computer Science of the Czech Academy of Sciences
- University of Pardubice
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- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
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understood. The collaborative groups of Prof. Steiner and Prof. Frishman (LMU and TU Munich) have developed a methodology based on physicochemical profiling and explainable artificial intelligence (eAI
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FIELD OF RESEARCH: Fields according to Web of Science (WoS) • ENGINEERING, ELECTRICAL & ELECTRONIC • COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE DESCRIPTION OF THE WORK POSITION: • Implementation
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: 1. 6. 2025 FIELD OF RESEARCH: Fields according to Web of Science (WoS): ENGINEERING, ELECTRICAL & ELECTRONIC a COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. DESCRIPTION OF THE WORK POSITION
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
Artificial Intelligence (SPM4.0)”. In parallel to this, aspects of machine learning explainability and uncertainty in SPM will be handled. To achieve it the doctoral candidate will: Develop both machine
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
for research, development and innovation in High Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI) and Quantum Computing (QC) and their applications. We have strong
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fields related to machine learning and artificial intelligence, experience with historical data analysis, text data analysis, network analysis, graph theory, multi-agent systems, and computer programming
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. Applicants should: Hold a PhD; with the exception of Research assistant and Graduate student positions. Have a strong background in the fields related to machine learning and artificial intelligence