62 assistant-professor-computer-"https:" "https:" "https:" "https:" uni jobs at Aarhus University in Denmark
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The AU International Office is looking for a new student assistant to help with the recruitment and retention of international students at Aarhus University. The student assistant will be part of
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contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
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responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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Would you like to help our new international Master’s students get a strong start to their studies and support them both socially and academically? Then this is your opportunity. The Department
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The AU International Office is looking for a new student assistant to help with the recruitment and retention of international students at Aarhus University. The student assistant will be part of
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skills. Additional assets include: Broad natural history knowledge of Danish biodiversity and nature. Ambition to take part in and help shape large research and monitoring programmes. A track record in
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at the assistant/associate professor level, with a strong publication record and active participation in national and international research networks. Documented experience in management of people and projects will
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job advertisement is available at https://international.au.dk/about/profile/vacant-positions/job/statistician-technical-administrative-personnel We are not accepting applications for this job through
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and