67 computer-science-intern "https:" "https:" "https:" "https:" "P" Postdoctoral research jobs at Aarhus University
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competitive national and international research applications Experience in planning and conducting laboratory work within metabolomics, molecular biology and microbial ecology Experience in planning and
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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at the highest international level, to offer research based teaching at Bachelor of Science, Master of Science and PhD levels, and to exchange knowledge with other areas of society, e.g. by offering our expertise
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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with international and interdisciplinary colleagues. There will be close collaborations with colleagues at the University of Wisconsin-Madison and Virginia Tech (USA). In the Computational Limnology team
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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Computer Engineering, you will also work closely with the geophysicists from the Hydrogeophysics Group (HGG) at the Department of Geoscience, as well as international partners in Ethiopia. You will also have
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main tasks will consist of: Independent research of high international quality, including publication. Strong interest in cancer biology. A desire to work with in vivo models. Additional specific tasks
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based