378 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "University of Cambridge" positions in Denmark
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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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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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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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https://employment.ku.dk/faculty/recruitment-process/ . Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD study at
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accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information
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information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
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information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Applicants have to find a supervisor at SDU Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU
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and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https