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project. An important aspect of the PhD will be to integrate different proxy records to reconstruct past change and understand the processes linking ocean circulation, climate, sea ice and marine ecosystems
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candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low-carbon energy
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of Civil and Mechanical Engineering at [email protected] . You can read more about Department of Civil and Mechanical Engineering at https://construct.dtu.dk/ . If you are applying from abroad, you may find
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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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a SU PhD scholarship is that you are enrolled as a PhD student at the Graduate School at Arts. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research
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, 2026, with the earliest start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject
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on completion. Links: AAU Business School: https://www.business.aau.dk/ | AAUBS IKE research group: https://www.business.aau.dk/research/research-groups/ike | CAISA: https://caisa.dk/ | SDC: https
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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise