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structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Work constructively under pressure
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ethnomycology or ethnobiology large-scale (ethnographic) database construction phylogenetic comparative analyses with Bayesian computational tools The applicant must have the ability to work independently and in
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. To complete a doctoral degree (PhD), it is important that you are able to: Work independently Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other
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into actionable insights. As AI becomes increasingly integrated into our lives, exploring the dynamics between humans and their AI counterparts is crucial. In the literature, two narratives of the human-AI
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and in a structured manner have good collaboration skills and the ability to contribute to the development of this scientific field be able to take initiative and actively participate in the development
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graduating from the programme will have state-of-the-art research knowledge, skills and competences relating to how to understand and implement innovation processes. The program’s research is structured around
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structured candidates with excellent laboratory skills and excellent collaborative qualities. The successful candidate is positive-minded, well organized, looking forward to learning and developing new
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synthesis, characterization, and performance testing with the goal of establishing structure/performance relationships. Experimentally obtained data will be utilized to create databases that will serve as a
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structured way, set goals and make plans to achieve them. Engage actively in collaborative settings and contribute constructively with feedback and discussion. Demonstrate resilience and the ability to work
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural