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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome
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of doctoral student and master's degree projects. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
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funding, research development and related administration. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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party in many contexts, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate proving the qualification requirement is met, must be
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level, experience in isolating and working with primary immune cells, experience in precise genetic engineering, for example using CRISPR/Cas9. Further information The position is a full-time fixed-term