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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
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new therapeutics and will be in charge for neuromodulation and neuroimaging hardware and software arrangements, collecting and analysis of data, and publishing the new discoveries. Note: Position tasks
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Council, the project will integrate new data collections with existing datasets from recent studies and monitoring programs to understand how pond age, design and management influence trajectories of pond
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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with qualitative analysis of educational research data. • Evidence of peer-reviewed publications or presentations in education research • Experience applying pedagogical best practices and evidence-based
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related to engineering specialized metabolite biosynthetic pathways Essential and Other Functions: (40%) molecular biology and microbiology (50%) Data analysis (10%) Prepare manuscripts and communications
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of the Minnesota Population Center (MPC), in the Institute for Social Research and Data Innovation (ISRDI), at the University of Minnesota. RESPONSIBILITIES Specific responsibilities include conducting empirical