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across a wide range of fields. ONIM‑RAM is one of the few remaining laboratories in Europe and worldwide that continues to develop and apply activation analysis methods (primarily neutron activation
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description: teaching related to quantitative methodology (Courses taught: quantitative practice, introduction to quantitative data analysis, data analysis in SPSS, Statistics and SPSS) Where to apply E-mail
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practice, introduction to quantitative data analysis, data analysis in SPSS, Statistics and SPSS. Where to apply E-mail kariera@fsv.cuni.cz Requirements Specific Requirements Requirements: Ph.D. degree
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are: Brain
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by metal nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory
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travel, potential internships) Flexible working hours EMPLOYMENT & FUNDING Start: 1 October 2026 Funding combines a standard salary component (32k CZK, taxed) and a PhD scholarship component (16k, tax-free
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materials, based on nanostructured binary and ternary metal-oxide and oxide-oxide materials. Well-defined samples will be prepared by physical methods (mainly vapor deposition and magnetron sputtering). UHV
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
knowledge of models and trends in the AI community, o experience with data analysis and processing, · experience with the following technologies is an advantage: o experience with High Performance
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Chemistry of the Czech Academy of Sciences (IIC CAS) invites applications for a PhD position in the field of phosphinate and phosphonate metal–organic frameworks (MOFs). This PhD project focuses on advanced