332 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Denmark
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, engineers and more working together to fulfil the mission of the programme. We offer creative and stimulating working conditions in dynamic and international research environment. The group is a part of the
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, with the earliest start date 1 November, 2026. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and
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The successful applicant will be expected to take a leading role in the core research activities of the Department of Theology (https://cas.au.dk/en/theology ) and the multi-disciplinary research activities
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at www.food.dtu.dk/english and the Research Group for Global Capacity Building at https://www.food.dtu.dk/english/research/global-capacity-building . If you are applying from abroad, you may find useful information
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-reviewedjournalpublicationsand conference presentations. Your competencies We are seeking candidates who possess at least an MSc degree, preferably a PhD, inOcean Engineering, Offshore Engineering, Subsea Engineering, Naval
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close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine with
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more about AAU Energy and the research groups at AAU Energy: https://www.energy.aau.dk/ The mission is to be world leading in both research and research-based education of the energy engineers
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At the Faculty of Engineering and Science, Department of Materials and Production a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing Engineering
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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to CSRankings. Further information about research at the Department is available here: https://di.ku.dk/english/research/ . SODAS is an interdisciplinary social data science center at the Faculty of Social