67 coding "https:" "https:" "https:" "UCL" "UCL" positions at Aarhus University in Denmark
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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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-art molecular and metabolic lab with a highly motivated and collaborative team of researchers, which is reflected in our use of English as the day-to-day language. https://corc.au.dk/corc-research
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educations: Molecular Biology and Molecular Medicine with a yearly uptake of 110 students in total. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and
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. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural
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Contact City Aarhus Website https://mbg.au.dk/en/ Street Universitetsbyen 81 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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UniversityCountryDenmarkCityAarhusGeofield Contact City Aarhus Website http://www.au.dk/en/ Street Nordre Ringgade 1 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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(2014). https://doi.org/10.1126/science.1253920 [2] An RNA origami robot that traps and releases a fluorescent aptamer. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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interested in candidates with strong competences in one or more of the following areas: Qualitative research methods, especially interviews, coding, interpretation, and cross-case analysis Stakeholder analysis