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creating a stimulating environment for researchers at all career stages, including students and young researchers. Since data collection, experimental design, and advanced analysis are core activities at
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teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. The applicant should describe her/his
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six associate and full professor positions with both a teaching and a research component. The main research areas of the current staff cover broad areas of China studies, such as language and literature
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integration (e.g., RESTful, xAPI, LTI). Experience with data analysis and visualization using relevant tools (e.g., R, Python, Tableau, or JavaScript-based libraries) Awareness of data privacy, GDPR, research
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the assessment of academic achievements, quality, originality, scope, open research practices (e.g. open access sharing of data and code, transparency and reflexivity in analysis) and impact rather than quantity