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Field
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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excellent knowledge of English (written and spoken). Be able to work well and communicate expert knowledge in an interdisciplinary team. Have high self-motivation to learn. Have the ability of working
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having strong coding skills is a plus. You have documented scientific publications in the specific research area of the position, communicate clearly in English and can work both independently and in teams
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with soil, cryptogams, freshwater, seawater, and glacial ice environments, as well as plant leaf and rhizosphere microbial communities. Our research encompasses field, experimental, and laboratory work
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research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational background, experience, techniques, language skills
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projects independently while thriving in collaborative research settings. You have excellent communication skills and are fluent in English, both spoken and written. You are motivated to contribute
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within a research team. Danish language proficiency is an advantage but not a prerequisite. Experience with one or more of the following will be considered an advantage: dyadic data analysis; multilevel
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of this job advertisement. Copies of the publications marked with an *. Only publications written in English (or another specified principal language, according to research tradition) or one of the Scandinavian
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an *. Only publications written in English (or another specified principal language, according to research tradition) or one of the Scandinavian languages will be taken into consideration) A brief (1-page