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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
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phase where we are developing our working methods together. As an employee within Support services, you will contribute to KTH’s mission to research, educate and create societal benefits, and at the same