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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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with single 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
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both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
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large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with neuropsychiatric and severe mental disorders. In addition, we
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neuropsychiatric disorders, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data
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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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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 their own approach and research
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the PhD project should align with the framework of the main project, the candidate has significant flexibility to pursue their own approach and research agenda. We encourage the submission of a project
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, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging windows over draining lymph nodes for long-term, real-time tracking of T-B cell interactions. Develop
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generating transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging