380 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions in Denmark
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information If you would like additional information about the position, please contact Head of DNA Foundry, Viji Kandasamy on vijkan@biosustain.dtu.dk You can read more about DNA Foundry at https
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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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). Open the “Apply now” link, fill out the form, and attach your motivated application, CV (incl. links to code portfolio like GitHub), and exam certificates. If you want additional information about the
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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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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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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