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position is part of an on-going multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational
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fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase
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multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
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, the ability to make independent judgements and carry out critical analyses, as well as any specialised knowledge and experience that the applicant possesses, such as professional experience that may be
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are valuable for the work and meritorious for the position. You will be able to complement your previous knowledge within the doctoral program if you lack experience in some of the mentioned areas. Good
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for this position. Experience of working with tracking of impurities and chemical pollutants, wood waste recycling, or characterisation of secondary materials for use in various industrial value chains is an
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analysis, modelling and field experiments, our project will illuminate the way forward for assisted migration (AM) as a pathway to sustain, and to restore in case of degradation, the biodiversity and
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different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly
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be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience in molecular biology with fungi familiarity with fungal genetics strong
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on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience with bioinformatic work experience in evolutionary genomic work familiarity with fungal biology