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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
of multiple matrices, is comfortable with research communication to a variety of audiences, speaks a Nordic language. Furthermore, the candidate should be well-organised and able to structure complex tasks
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psychophysics and statistics Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference
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of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer-reviewed journal articles
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encouraged to seek a personal fellowship to support their research. The Department The Department of Cellular and Molecular Medicine). The working language in the group is English. Our group and research
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particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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scenarios). Written and spoken language proficiency in English Knowledge on environmental system analysis, industrial ecology, or similar expertise. Ability to work in an international multidisciplinary
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of the English language. Who we are Department of Biological and Chemical Engineering was established on 1 January 2021 in connection with Aarhus University’s reorganization of the engineering area. The department employs
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pamphlets, poems, and dedications. The impact of the various text genres will be critically assessed. The expert will systematically analyze women’s thoughts on freedom of speech, democracy, religion, and on
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engineering. We seek strong experimental skills, open-mindedness, “I can do”, and never-give-up mentality. Excellent English communication stills are required for this position. We are seeking a bright and
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop