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data processing, statistics, and multivariate analysis of high-dimensional datasets. An excellent publication record relative to career stage, with evidence of scientific independence, intellectual
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS. Excellent English communication skills, both written and spoken. Meritorious (preferred
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focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with
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and data science Experience with next-generation sequencing, mutation analysis, or cancer model systems is highly desirable. A strong interest in interdisciplinary research at the interface
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particle physics division at Stockholm University, which currently consists of six faculty members, four researchers and postdocs and seven PhD students. The focus will be on analysis of the high energy
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of PhD thesis work. 5. Contact information for two reference persons. The application should be written in English or Swedish, and attached in Word or PDF format. The application should be registered via
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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-scale datasets within biodiversity and evolution. Examples of such research include analyses within phylogenomics, metagenomics, image analysis and distributional data. Qualifications In order to qualify