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Postdoctoral Scientist – lnsect Macroecology, at the Forest lnvasion Synthesis Centre, Prague (FISC)
-native trees in forestry, social perceptions of non-native species in forests, economic optimization of forest biosecurity, and the global impacts of invasions on global forest ecosystem processes. We
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the natural microenvironment but have limitations. This research aims to develop and optimize models replicating the lymphoid microenvironment to study new therapeutic strategies, including drugs targeting CLL
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the field of historical sciences and at least five years of experience at an academic or research institution Respected scholar in the domestic and foreign context Optimally, a professor, associate professor
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=, including external effects due to natural events and security, fire safety engineering and chemical stability (eg runaway reaction). Artificial intelligence: Predictive modelling and process optimization
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=, including external effects due to natural events and security, fire safety engineering and chemical stability (eg runaway reaction). Artificial intelligence: Predictive modelling and process optimization
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: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and
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: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production, distribution/delivery, and
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). Artificial intelligence: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production
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). Artificial intelligence: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon fuels and for hydrogen production
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stability (eg runaway reaction). Artificial intelligence: Predictive modelling and process optimization, machine learning algorithms, complex systems and AI-powered risk assessment models for zero-carbon