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well as to follow societal developments in general that are important to your work. The Faculty of Medicine applies student-active teaching methods. Qualifications For being eligible you need to hold a PhD or have
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boundaries creates synergies that drive research forward and the high-tech methods enable research that would otherwise not be possible in Sweden. At SciLifeLab, we do not only apply the latest and most
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key aspect to maintain cutting-edge expertise for analysis of current and emerging data types. Requirements The successful applicants need to fulfil the following requirements: PhD in bioinformatics
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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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sequencing platforms (e.g. NextSeq 2000, NovaSeq X Plus). The role also includes continuous improvement and standardization of existing analysis methods (e.g. single-cell applications, basic histology and
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life science methods, access to state-of-the-art research infrastructure and recruitment of postdocs and doctoral students. All SciLifeLab Fellows are by default also SciLifeLab Group Leaders. (More
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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data