59 evolution "https:" "https:" "https:" "https:" "https:" "University of St" research jobs at Aarhus University
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. About the role: We are seeking a talented, highly motivated and enthusiastic Postdoctoral Research Associate as part of the EPSRC programme grant “Total Body Nuclear Imaging for the Development
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the Department of Clinical Medicine, your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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neuromuscular research and molecular muscle biology your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research
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. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to
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environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions
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groups and QGG Mentorship and support in developing independent research directions Support for grant writing and professional development a workplace characterised by professionalism, equality and a
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environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions
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counselling to expat partners. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted
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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