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research findings and other relevant information to society at large perform administrative duties within the department, faculty and university. The department uses Swedish and English in parallel
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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advanced AI/LLM methods. The Staff Scientist will lead development of LLM-powered analysis and knowledge tools (e.g., retrieval-augmented generation over omics + literature, automated data-to-insight
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Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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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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communicate about research and research results and contribute knowledge to society The department has a parallel language work environment. The associate senior lecturer will be able to carry out most
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coupled with CRISPR gene editing. We use state-of-the-art sequencing methods e.g. Oxford Nanopore long-read sequencing and 10X genomics single-cell sequencing. Moreover, we will work with TE tailored
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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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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