114 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Aarhus University
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processes, including copyediting and quality assurance of outputs Planning and executing workshops, seminars, and research events Overseeing project timelines, deliverables, and internal coordination across
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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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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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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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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes, neuroscience and
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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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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
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of Clinical Medicine As a postdoctoral researcher in the Department of Clinical Medicine, you will be part of one of the largest health science research environments in Denmark. The department covers all
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The position will be based at the National Centre for Register-based Research, Aarhus University, a leading international research group investigating psychiatric epidemiology and statistical genetics