40 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Aarhus University
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The Department of Business Development and Technology ( BTECH ) at Aarhus BSS, Aarhus University invites applications for one or more professorships in marketing, digitalization and organization. A
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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 read more about it
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their research agenda and approach to this topic in accordance with their broader research interests, expertise, and career development. The various tasks of the position are organized in continuous agreement with
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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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. 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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responsibilities As Professor of advanced arrhythmia management, you will have joint responsibility for the development of the department's research and teaching environment, and you will contribute
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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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faculty here . Your job responsibilities As Professor of Cognitive Neuroscience at the Department of Clinical Medicine, you will have joint responsibility for the development of the department's research
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to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your
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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