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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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. Responsibilities include developing and contributing to projects, investigating new phenomena, setting research priorities, conducting experiments, data analysis, literature reviews, and laboratory maintenance
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analysis Established experience with animal models is mandatory Strong publication record, including at least two publication outputs in the last three years, with the applicant as the principal author
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and