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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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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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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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studies Application of basic and advanced statistical methods (e.g., linear/logistic regression, Cox regression, potentially also multilevel analysis, structural equation modelling, mixed-effects modelling
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on landscape archaeology using Geographic Information Systems (GIS) and network analysis MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions
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to the development of innovative STEM modules within 3D, VR, and XR environments. Your objective will be to design and validate learning experiences incorporating elements of gamification and adaptive learning. We
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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: Independent and team scientific work in the field of parasitology Participation in the preparation and implementation of research projects and publications Collection and analysis of biological samples using
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small ligand-like molecules. Familiarity with NMR data acquisition and analysis for characterising dynamics is advantageous. Strong scientific writing and communication skills (publications, reports
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examines how the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling