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in meta-analysis, systematic reviews, or quantitative synthesis methods Hands-on experience with coding large datasets, developing taxonomies/ontologies, and implementing AI/ML classification pipelines
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experience in data management, analysis, and visualisation. You will demonstrate experience working with large-scale biological datasets, preferably from biobank studies (e.g., UK Biobank, China Kadoorie
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psychometrics Computer- and web-based psychological assessment of cognitive abilities Advanced meta-analytic research methods for educational research You are pursuing your research independently and in
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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on the design, conduct, and reporting of research. Ability to supervise a large research team. Monitors outcomes, develops and implements modifications, and analyzes reports. Designs, interprets, and
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placed on synthesis approaches, such as meta-analytic techniques and the analysis of large-scale health data, to systematically integrate evidence and identify patterns across diverse health outcomes
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of these data through both written and verbal communication including presentations, executive summaries/briefs, data visualizations, reports, etc. Manages large-scale, reoccurring projects, initiatives, and
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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biology, human microbiota, microbiology or other relevant areas and/or comparable expertise (e.g from industry). Demonstrated expertise in omics data analysis, for example with (meta)genomics