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relevant literature, and supporting the generation of high-quality data. This will be a lead role in coordinating and delivering project tasks, particularly those involving collaboration with industry
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computational methods for cancer pangenomics using long-read sequencing data. Through TGen's Collaborative Sequencing Center (CSC), we have access to in-house PacBio Revio and Oxford Nanopore PromethION platforms
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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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important to increase the resolution of tomographic models as this should give better insights into the Earth’s dynamics and history. Improving tomographic models requires innovative data processing and
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candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis
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pre-approved, and a letter of approval must be attached. Information is available via the following link: Recognition of foreign education - to work in Norway | HK-dir If you have not completed your
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for the position CV, reference letters, and all pages of certificates/diplomas for bachelor’s and master’s degrees. Foreign education should be pre-approved, and a letter of approval must be attached. Information is
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letter of approval must be attached. Information is available via the following link: Recognition of foreign education - to work in Norway | HK-dir If you have not completed your master’s degree
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, proven expertise in trypanosome genetic manipulation and functional analysis, as evidenced by first name authorship, proven expertise in the generation and analysis of proteomic and RNAseq data, as
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and