67 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "Stanford University" positions at Aarhus University
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Institute for Climate Change (D), Stanford University (US), Caltech (US), Rice University (US), and, from 2026, also Politecnico di Milano (I), EPFL (CH) and Heriott-Watt University (UK). At Aarhus University
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see: http://ecos.au.dk/en/ . What we offer The department offers: A multi-disciplinary research environment collaboration within strong research teams with extensive experience in carbon flux research
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capture and conversion. We believe in a fossil free future, where CO2 becomes a resource, not a problem. The Center comprises 15+ research groups at Aarhus University and Stanford University (US
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, relevant data science skills, scraping, and coding in R and Python Experience with building and analyzing large datasets 5) Other preferred qualities The ability to independently organize and potentially
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, JOTA). Ability to work both in cooperation and independently as well as to formulate, verify and execute new ideas. Plus: Ability to implement and test algorithms, code and design statistical experiments
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings
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published papers) with the above topics. A high level of coding competences will be beneficial. If your PhD is not yet completed, please document that your thesis will be submitted before the start date