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associations with socio-economic markers, health, gut microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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22 Aug 2025 Job Information Organisation/Company Empa Research Field Engineering » Civil engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Country Switzerland Application
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Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications: Interest in
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focus on the comparative effectiveness of drug therapies on dementia-related outcomes using large-scale observational electronic health record data and local electronic health record data. The fellow’s
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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expertise in immunology with multi-color flow cytometry, confocal microscopy, molecular biology techniques such as qPCR, Western blot analysis, experience analyzing large and complex data sets, and strong
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statistical analyses on large datasets to provide biological insights. Integrates mass spectrometry imaging data with other multimodal imaging techniques (e.g., spatial transcriptomics) for comprehensive
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research, analyze data, and contribute to scholarly publications. You'll also prepare and present research findings, develop grant proposals, and mentor student researchers. Additionally, you'll have the
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques