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industry and its suppliers. Work duties This position as researcher is focused on developing digital solutions for the analysis and design of stormwater management systems. The position involves development
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art
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genomic studies and the analysis of archaic ancestry in present-day and prehistoric humans across the globe. The duties will involve large-scale analyses of genomic datasets, from present-day and
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textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project will be decided by the student together with the supervisors. Information about the
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groups and hybrid media research to be used for the analysis. In addition, the researcher is expected to assist with the expansion of the data infrastructure and societal outreach at PLEDGE. Qualifications
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different conditions using existing software (written in Fortran). Analysis of data using quantitative genetics tools (e.g., calculation and comparison of genetic and phenotypic covariance matrices
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automated verification and debugging techniques for numerical programs. These programs are widely used in safety-critical systems, data analysis, weather forecasting, physics, engineering and more, but
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-world environments. Division of Energy Technology, known for its longstanding expertise in energy systems analysis and methodological development. The division hosts a collaborative team of senior
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with the research group, you will primarily work with planning and carrying out research within the project, with an emphasis on data collection, analysis, and reporting of results. Both qualitative and quantitative