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- Faculty of Science, Charles University
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- Mikrobiologický ústav AV ČR, v.v.i.
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publications in peer-reviewed journals. Strong command of spoken and written English. Highly desirable: Experience with nanostructured and/or high-entropy materials. Background in plasma-based deposition
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of the position: The successful applicant will focus on the development of innovative melamine-based polymer-metal composite materials for the reactive capture and (thermos)catalytic conversion of CO2, studying
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the Advanced Materials Group (Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague), to work on the computational materials science work “Diamond-based
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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implementing state-of-the-art AI-powered models for the automated taxonomic identification of insects captured via high-resolution camera traps. You will build upon the prestigious SEPPI Biodiversa (Standardized
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language classes, professional trainings and mentoring programme Concessionary services at the contractual operator and bank Campus-based daycare for employees' children from the age of 1 year Welcome
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postdoctoral candidates with background in social psychology, cognitive science, or social neuroscience to join a highly interdisciplinary project on the computational model of decision-making. The Computing
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applications for a PhD position in soil–plant interactions under changing climatic conditions, focusing on soil organic matter dynamics under drought and elevated CO2. The PhD student will be based
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– Participation of the Czech Republic. The position will be based at FNSPE CTU in Prague, Czech Republic, and includes opportunities for conference travel and short research stays at collaborating institutions
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distribution of plant-associated fungi and their symbioses? How plants protect reproduction from heat stress; from models to crops Identification and Functional Characterization of Resistance Genes Conferring