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opportunity for an excellent candidate with a strong background in fluid mechanics/physics to work in a highly active, ambitious, multinational research team in a generous and stimulating environment. You will
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in supervising students at both master's and PhD levels. This project is funded by a prestigious FRIPRO Grant for Early Career Scientists and is built on our ongoing Integreat project “Embedded
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of view. Hence, the work will be conducted in a highly interdisciplinary research environment and the candidate will collaborate with international teams consisting of clinicians, researchers in
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major challenges in important applications including marine domain and neuroscience. The candidate is expected to assist in supervising students at both master's and PhD levels. This project is funded by
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the clinical use of machine learning methods for the benefit of patients from a healthcare point of view. Hence, the work will be conducted in a highly interdisciplinary research environment
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medical research environment that conducts research focused on understanding the molecular basis of cardiac disease and heart failure development. With approximately 60 employees and six research groups
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perspectives. FemArc is a central activity in ConGender, focused on work in progress, and recruits beyond ConGender. The teaching consists of a one-year programme at BA level and two PhD courses. The one-year
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Research (IEMR) is an innovative and dynamic medical research environment that conducts research focused on understanding the molecular basis of cardiac disease and heart failure development. With
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. It is a prerequisite that you complete the project during the employment period. Qualification requirements You must have a PhD with a specialisation relevant for the project. The PhD thesis must have
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use of machine learning methods for the benefit of Sámi patients from a healthcare point of view. Hence, the work will be conducted in a highly interdisciplinary research environment and the candidates