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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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bioinformatic pipelines. The analyses will be carried out on GPUs and part will consist of data processing and visualization in order to facilitate interpretation and, in some instances, clinical reporting
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, and Umeå University. HPC2N is operating high-performance parallel computer systems and networks, large-scale disk and tape storage systems. All levels of user support are offered, to make sure
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cycle level, including doctoral level further pedagogical training collaborate with relevant stakeholders in the agricultural sector. Swedish and English are used in parallel at the department. The holder
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research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient
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things. It encompasses everything from processes at the molecular and cellular level to global processes at ecosystem level. The subject is divided into a range of sub-disciplines and specializations
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, or acquired, in some other way within or outside the country, substantially equivalent knowledge Education in relevant field; biotechnology, molecular biology or chemistry Experience with bioinformatic tools
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, preferably in the public sector or academia. Understanding of bioinformatics, specifically in analyzing human genetic data. Familiarity with systems for sensitive data and/or processing of special categories
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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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advanced models for genomic selection to improve breeding programs in plant and animal breeding. You will analyze genetic data: Use bioinformatic and genomic methods to process and interpret large-scale