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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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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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engineering (e.g., fusion proteins or ligand display), affinity-based targeting, or cell-uptake assays will be an advantage. Excellent English communication skills, ability to work independently and responsibly
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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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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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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
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research settings. You have excellent communication skills and are fluent in English, both spoken and written. You are motivated to contribute to applied outcomes of fundamental research in support of
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high