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for this job See advertisement Job description The Centre for Technology, Innovation and Culture (TIK) at the University of Oslo (UiO) invites applications for a two-year Research Fellowship (position code 1109
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to perform structure-based antibody design, developing and employing machine-learning tools for predicting antibody-epitope binding and antibody developability. In silico antibody design is a long-standing
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training leading to the successful completion of a PhD degree. The candidate will develop and employ a variety of computational biology techniques to perform antibody design both on the sequence and
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techniques to perform structure-based antibody design, developing and employing machine-learning tools for predicting antibody-epitope binding and antibody developability. In silico antibody design is a long
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training leading to the successful completion of a PhD degree. The candidate will develop and employ a variety of computational biology techniques to perform antibody design both on the sequence and
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exists in collaborating countries, and will be translated and adapted to the relevant cancer survivor populations across 12 different countries, using participatory, co-design methodology. These tasks
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includes the design of DNA constructs with relevant software, gene cloning, propagation of plasmids in bacteria, plasmid preparation, gene expression, and PCR. Experience in techniques for screening plasmid
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English English English Position as Researcher in Novel Proton and Neutron Radiotherapies Apply for this job See advertisement About the position One position as a Researcher for the European Innovation