69 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Aarhus University
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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to develop an independent and competitive research program. Research areas of particular interest include, but are not limited to: • Surface-sensitive vibrational spectroscopy (e.g. sum-frequency generation
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) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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Natural Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Natural Sciences Tenure Track Programme. Highly qualified
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The Department of Biology at Aarhus University aims to advance and strengthen the Departments research and education program in ecophysiology and ecology. Therefore, we invite applications for 1-2
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, advanced 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
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horticultural crops, seed production and technology, technological innovations in crop production, crop physiology and quality, pesticide fate in the environment, and the effects of natural compounds in crops
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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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research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled