30 assistant-professor-and-data-visualization Postdoctoral positions at Aarhus University
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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employees can get help and information from the AU International Center (au.dk/en/internationalcentre ) and Work in Denmark (workindenmark.dk ). Tax reduction schemes for researchers may apply. What we offer
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researchers and accompanying families, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment by AU
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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of employment is Aarhus University with related departments. Contact information For further information, please contact: Dr. Chao Sun, chaosun@dandrite.au.dk Deadline Applications must be received
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area of employment is Aarhus University with related departments. Contact information For further information, please contact Prof. Selin Kara ( selin.kara@bce.au.dk ), +45 2237 8964; and Assoc. Prof
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performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
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services for international researchers and accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff
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such as data scarcity, cultural sensitivity, inclusivity, and the need for robust preference optimization methods that go beyond standard fine-tuning. Key research objectives include: Developing Efficient