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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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methodological perspective and from the perspective of data-driven science applications. It is an arena where experts in computational science, data science and data engineering (systems and methodology) work
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related field. The degree needs to be obtained by the time of the decision of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline
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qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience working with lipid nanoparticles Experience working with small
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alternative splicing, depending on the interests and expertise of the applicant. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department
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questions. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Have a strong grounding in biological systems and
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basic research with clinical applications. This position is recruited within Patrick Sandoz’s research group at the Division of Biomedical Engineering. As a member of the group, you will play a key role
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to the application deadline Experience working with large heterogeneous datasets Experience working with biological datasets such as imaging, genomics, proteomics, or spatial omics Experience building scalable
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model organisms, their application in conifers remains limited due to challenges associated with tissue structure, nuclei isolation and sensitivity to inhibitory compounds. This project aims to develop
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, proteomics, single-cell data) Prior biological experience is not required. We particularly encourage applicants from quantitative disciplines. Our lab values diversity and inclusion and strives to create