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development and discovery Cell biology and imaging Plant development and cell differentiation Phytohormone regulation Structural and functional biochemistry We also welcome applicants who apply artificial
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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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week, but can vary depending on your and the projects’ needs. The position starts February 1st 2026, or as soon as possible hereafter. We are looking for We are looking for someone who is structured and
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of scientific productivity. Position Structure and Career Path This is a 4-year independent Group Leader position with the expectation of establishing a high-impact research program and securing external funding
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opportunities at Aarhus University here: http://international.au.dk/research/ Terms of employment The appointment is made in accordance with the Memorandum on Job Structure for Academic Staff at Danish
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of international researchers’ employment by AU . Please find more information about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required
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of international researchers’ employment by AU . Please find more information about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required
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lower tax rate. Further information on qualification requirements and job description can be found in the Ministerial Order on Job Structure for Academic Staff at Universities . Application Your
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related field. • Experience with applied statistical analysis and data handling. • Understanding of data structures, experimental design, and reproducible workflows. • Good communication skills in English
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are encouraged to apply, but we especially encourage specialists in the fields of hydrogeology and/or petrology/structural geology. Expectations The appointee will develop their own independent research profile