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or using pretrained-model APIs is not sufficient. Applicants must provide evidence of research potential through a substantial thesis, research project, code contribution or publication, clearly identifying
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, JavaScript/HTML, APIs, Git, or experiment software) is useful, but we are looking primarily for research motivation rather than a purely technical profile. What you can expect from us Close guidance and
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for monitoring and managing animal environments. Highly motivated in design and development of reliable LLM-based agents, integrating APIs and indoor environmental control systems, and translating natural
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engineering, API use, learning analytics, or experimental methods is an advantage, but not a requirement. Some tasks will involve programming, especially in relation to testing AI-based tools, supporting
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citations in the Social Science Citation Index, Scopus and/or Google Scholar. A teaching portfolio documenting teaching qualifications and pedagogical development. The portfolio must include an overview
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your Researcher ID/Scopus ID, Google Scholar profile link, and/or a unique search query in Web of Science to retrieve your publication and citation track record. Also, please provide names of references
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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Citation Index and/or Google Scholar of any relevant, significant, original research at an international level. Recruitment procedure A minimum of two applicants will be shortlisted after the application
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% Citescore, alternatively top-10 on a Google Scholar list. Monographs should be published in reputable publishing companies. At least one of the qualifying publications needs to be single-authored. A coherent
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or