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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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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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(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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to develop a research project within the 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
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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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transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging windows over
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public health information systems. The project aligns with recent developments at the HISP Centre at UiO, which is expanding its long-standing DHIS2 infrastructure to support predictive modeling and
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of geographic information systems, epidemiology, machine learning and public health information systems. The project aligns with recent developments at the HISP Centre at UiO, which is expanding its long-standing
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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin
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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin