37 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"L2CM" Postdoctoral positions at Nature Careers in Denmark
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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moss will be harvested with the purpose of sphagnum restoration at other sites or as growing media in horticultural production. The main focus of your position will be chamber measurements and data
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motivation to work on ultrafast spectroscopy, postdoctoral fellows should have an interest in working on biomedical problems. Contact Further information about the position may be obtained from Associate
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50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique perspectives to our department
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quality. Your main tasks will consist of: Conducting independent research of high international quality, including publication in leading journals Performing advanced spatial data analysis, including
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sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental