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experience with natural language processing and/or machine learning (e.g., through first/co-authored publications) Demonstrated interest in interdisciplinary research at the intersection of AI and law
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may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your
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, and other areas. What unites faculty in our department is an overriding concern for the organization of the human within its multiple environments: work, nature, economy, civil association, the state
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on transition metal catalysis applied to the conversion of specific plastic types to carbon capture materials. The position will focus on different catalytic processes and improving their performance
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observation and theory about human-environmental relations. The candidate will be responsible for a work package that investigates contemporary processes of cattle expansion in an historical hunting and
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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to acquire, download, manage, and synthesise large geospatial datasets from diverse sources. Proven ability to publish at a high international level. Excellent written and oral communication skills in English
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structures across the NE Greenland Shelf, document the glacier retreat through the fjords, investigate changes in hydrography, and evaluate the relationship between glacial and marine processes in the area
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knowledge of single-crystal X-ray diffraction (SCXRD) and in SCXRD data processing Very good oral and written proficiency in English Assessment criteria and other qualifications: Experience in the Python
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data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that demonstrates the ability to conduct and communicate independent