53 programming-"https:" "https:" "https:" "https:" "https:" positions at Aarhus University
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discussions, diversity, and teamwork. Our research has connections to both condensed matter and quantum optics. For more detailed information see our group homepage: https://phys.au.dk/forskning
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experience with management or development of study programs. The quality of teaching should be documented by positive teaching evaluations, teaching awards etc. A teaching portfolio should be submitted with
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the department’s scientific areas. We educate both Bachelor's and Master of Science in Engineering students, and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
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The successful applicant will be expected to take a leading role in the core research activities of the Department of Theology (https://cas.au.dk/en/theology ) and the multi-disciplinary research activities
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. The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and teaching in all major biological subdisciplines. The department is especially known for its research
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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Dentistry and Oral Health at Faculty of Health
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membership databases. Contributing to the preparation of newsletters, LinkedIn posts, and other communication tasks Your profile We emphasize that you: Are enrolled in a higher education program – preferably
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of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine learning (particularly sound event detection), open