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bearingless pumps. Depending on the outcomes of the modelling work, a prototype may be built and tested at Danfoss under realistic operating conditions. You must have a strong background in mechanical
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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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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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supervise university students. The department has an international staff of approximately 40 researchers, PhD students and postdoctoral fellows. We have a great focus on multi-disciplinary collaboration
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
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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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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn about the interaction between Power-to-X plants and the electrical grid
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https