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collection parameters for automated analysis pipelines; developing, optimising and implementing AI/ML workflows and validating analysis using physico chemical approaches. The research will be in close
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constellation of SciLifeLab researchers and infrastructure units. This position is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab. Our lab develops deep learning models
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Are you excited about research at the intersection of genomics and data science? We are looking for a researcher to join our team and contribute to advancing our understanding of genome evolution
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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of Gene Technology, SciLifeLab, as well as leading international research groups. The job involves developing and executing primary research projects in computational biology, leading to dissemination and
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engineering practice, collaborative development experience (e.g. Git/GitHub), and ability to use AI-assisted coding tools effectively. Strong communication and collaboration skills, with the ability to work
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division The Division of Biomedical Engineering is part of the Department of Materials Science, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized
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for library preparation and sequencing. The project builds on a recently developed microfluidic platform available through collaboration with the research group of Johan Henriksson (Department of Molecular
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows