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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets
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information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026/niels-van-berkel/. Your competencies You hold, or will
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The Analytical Chemistry Group invites applications for a 4-year assistant professorship in machine learning–based non-target screening of contaminants, CECs and other complex chemical mixtures
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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. We are open to candidates from different academic backgrounds both within and outside business administration. The candidate will be expected to teach within management and control. As many courses
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articles within the context of the project and to participate in the organization of activities and research events within the project. For more information about Forgetting Secrecy? please visit https
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departments. The faculty has an annual budget of DKK 3 billion. Learn more about The Faculty of Science at www.science.ku.dk You can read about the recruitment process at https://employment.ku.dk/faculty
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cultures, cloning, biochemistry, genetics Lab management skills Communication and/or language skills in English and Danish Personal skills Who we are Visit the Sun lab's website to learn more about the lab
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challenges. The professor is expected to teach both at the BSc and MSc levels primarily in the Biotechnology and the Natural resources and Environmental Sciences programmes at the Frederiksberg Campus and to