367 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Denmark
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery and innovation
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of FinanceCountryDenmarkGeofield Contact City Copenhagen Website http://www.cbs.dk/ Street Solbjerg Plads 3 Postal Code 2000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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job advertisement is available at https://international.au.dk/about/profile/vacant-positions/job/statistician-technical-administrative-personnel We are not accepting applications for this job through
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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/ProvinceAaarhusCityAarhusPostal Code8000StreetUniversitetsbyen 81Geofield Contact City Aarhus Website https://mbg.au.dk/en/ Street Unversitetsbyen 81 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
academic partners. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery
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career. Information on CGEN and its individual groups can be found at: https://cgen.ku.dk/ and on ICMM at: https://icmm.ku.dk/english/ . Project description The project will be decided in consultation