268 data-"https:" "https:" "https:" "https:" "Paris Saclay university" Postdoctoral positions at Nature Careers
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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: Establish and develop experimental protocols and pipelines and implement data management compliance. Presentation of your work in various meetings (locally at the department, national and international
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using sighting data and ship positional data, as well as passive acoustic recordings, the project will provide an overview of how hotspots in human and marine mammal presence are distributed in affected
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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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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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct