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research in the Centre. Skills, Experience & Qualifications needed Undergraduate degree and PhD in an appropriate subject area. Knowledge of biodiversity metrics and work with Indigenous and Local
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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consist of: Independent research of high international quality, including publication. You will report to the Prof. Dr. Fulvio Reggiori. Your competences You have academic qualifications at PhD level, for
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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includes participation in case studies and other project activities. A limited amount of teaching and supervision may also become relevant. Applicants must hold a PhD or demonstrate equivalent qualifications
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internal governance processes, including work package coordination, decision tracking, and follow-up actions across partners. Applicants must have: A PhD degree in a relevant field (e.g., quantum technology
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a post doc, you will be working at Aarhus University Hospital or another hospital in
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demonstrated excellence and have a relevant PhD degree in chemical or materials engineering, chemistry or similar. A general interest in technology application, societal challenges, and techno economics is a
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities