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The Gaia Postdoctoral Fellowship Programme, funded by the EU under the Marie Sklodowska-Curie Actions (MSCA), offers 6 additional positions across to the already 9 existing fellowships, in
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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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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Postdoc position in method development in human statistical genetics, with a focus on classificat...
, laboratories, equipment, and highperforming computing clusters. Place of work The place of work is C.F. Møllers Allé 3, Bldg. 1130, 8000 Aarhus C. The area of employment is Aarhus University with related
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars
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master's degree in one of the following areas: Bioinformatics, Biology, Engineering, Computer science or related fields, and have experience doing research within Bioinformatics. You must moreover exhibit
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
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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research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive
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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