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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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. You can read more about the Department of Management at: http://mgmt.au.dk. Further information For further information about the position and the department, please contact Head of Department/project
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enthusiastic candidates with a keen interest in setting up new laser systems and learning new techniques. More specifically, the candidate should have a solid background in operating CW laser systems including
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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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the team, and proactive working style are essential. The candidate should be motivated, open to learning new techniques, and capable of driving their part of the project independently. Who we are The postdoc
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-Scandinavian candidates, an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum Nørgaard, phone: +4550718795
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interest in learning Danish is an advantage. Meet your new colleagues You will become part of the Department of Glaciology and Climate. Our department studies both the current and past changes
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
commitment to research excellence Possess the ability to work independently, take initiative, and drive research activities forward Show adaptability and a willingness to learn new concepts, techniques, and
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to the research, teaching and general academic environment of the department and to promote the overall strategy of the department and Aarhus BSS. You are expected to teach and supervise students at Bachelor’s
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: Conceptualisation and synthesis of data integration and visualisation workflows. Data management and the development of knowledge graphs Development and application of AI and machine learning methods and pipelines