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website . Please note that English is the working language for the project. Postdoctoral researcher position The successful applicant will be expected to Engage in critical, theoretically informed research
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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website . Please note that English is the working language for the project. Postdoctoral researcher position The successful applicant will be expected to engage in critical, theoretically informed research
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-reviewed journals Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can biologically interpret results and relate to breeding decision making
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and societal institutions. The project approaches the past by textual means, and the source material consists of Old Norse texts of various genres. The working language of the project is English. The
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration
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. 80 thesis based Bachelor and Masters students and visiting staff and students, who together contribute to an international research environment where English is the preferred language in the laboratory
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection
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the majority are international and the working language is English. The research group of Mikkel H. Schierup currently employs six postdocs and six PhD students in a variety of projects in evolutionary genomics