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similar sites around the world. Requirements: A master's degree in microbiology or a related field Basic training in microbiology (preferably environmental microbiology), statistical analysis and
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the analysis of geocoded data, especially of epigraphic and archaeological
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in specialization on magnetic solids Principal investigator of at least two national or international research projects Strong publishing record from previous research work Communicative team player
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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
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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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that they will be able to effectively analyze ecological problems by understanding the nature of problems at all three main levels of ecological research - individuals and populations, community ecology
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-term Job status: Part-time Job starting date: 1. 2. 2026 Min. education level: Master Degree or equivalent Field of education: Soil science or a related field JOB DESCRIPTION: Background Fauna is highly
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: Researcher Researcher profile: R1 Duration: Fixed-term Job status: Part-time Job starting date: 1. 4. 2026 Application deadline: 10. 12. 2025 Min. education level: Master Degree or equivalent JOB DESCRIPTION
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scientific co-operation during the studies. Therefore, the absolvents are able to serve as principal investigators and leader of research groups at scientific institutions as well as specialists at clinical