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- Czech Technical University in Prague
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the following documents in English: CV, including a list of publications (max. 4 pages). At least three Impact Factor journal publications are expected or CORE A*/A conference paper. Papers accepted
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project Expected start: 01.03.2026 (fixed-term employment until February 28, 2027) Expected workload: 30 % Job responsibilities: In silico analysis of biofilms in various trypanosomatid species
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hierarchies and incorporating more technical datasets such as geomorphology and metal detection finds into archaeological analysis researching into the complexity of the production and distribution chains
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penalized and hierarchical modeling strategies. The successful candidate will contribute to outcome definition, data analysis, and model development, and will have the opportunity to engage in advanced
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, microstructural analysis, and radiation damage characterization. Familiarity with magnetron sputtering, multilayer coatings, or alloy design will be highly advantageous. Skills in Focused Ion Beam (FIB) sample
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for the highly-time resolved chemical data modelling as well as involved in the operation and maintenance of state-of-the art aerosol instrumentation (aerosol spectrometers, elemental monitors and aethalometer
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educational solution that uniquely combines elements of gamification, adaptive learning, and advanced technologies including 3D/VR/XR and AI. Your primary responsibility will be ensuring continuous user
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Republic. We focus on the development and 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
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educational solution that uniquely combines elements of gamification, adaptive learning, and advanced technologies including 3D/VR/XR and AI. Your primary responsibility will be ensuring continuous user
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CAS will provide the necessary expertise in the analysis of complex data, including multimodal neuroimaging measurements, the use of information theory, nonlinear dynamic systems, network theory