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embryos at the systems scale. Projects will comprise such approaches as (1) obtaining reference genome and transcriptome sequences for local species and populations; (2) Profiling embryonic development in
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://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic
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or multiple bacterial species under aerobic and anaerobic conditions. You will use these model biofilms to test medical implants and other medically relevant surfaces. They will also be used to test the effect
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programming Experience with numerical methods that can address chemical composition in dynamical models of planet formation (such as condensation sequence, stellar and protoplanetary disc’s elemental abundances
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formation (such as condensation sequence, stellar and protoplanetary disc’s elemental abundances for major rock-forming and volatile elements) Fluent oral and written communication skills in English Desired
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, or projects that include multiple creative or artistic disciplines, are encouraged to apply. Applicants are also encouraged to collaborate with other relevant project partners from the public and private
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contexts across different art forms. Candidates with interdisciplinary projects, or projects that include multiple creative or artistic disciplines, are encouraged to apply. Applicants are also encouraged
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overarching thematic scope of the larger project, namely governing elites. While the PhD project should align with the framework of the main project, the candidate has significant flexibility to pursue
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(Transcend). More about the position / Project description The candidate will develop and employ a variety of computational biology techniques to perform antibody design both on the sequence and structural
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presented before you can take up the position. Experience in transcriptomics analyses, including single cell RNA sequencing analyses Experience in multi-omics data integration Experience in statistical