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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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, or similar. You will be encouraged to publish scientific findings and share new analysis methods, as well as present results to stakeholders across multidisciplinary teams. You will participate in Clinical
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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels
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individual laboratories. Computational methods and artificial intelligence based on large-scale molecular data are transforming the study of biological systems at all levels – from molecular structures and
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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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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Work duties The
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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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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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