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or magnetically confined fusion plasmas. Expertise in computational techniques including low-rank, spectral, finite volume, finite element (such as discontinuous Galerkin) methods. Knowledge of fluid and kinetic
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. Develops proficiency in technical skills with particular focus on longitudinal analysis. Develops proficiency in their ancillary skills, e.g., writing, public speaking, networking, critical evaluation
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the supervision of a faculty mentor including (but not limited to): Independently performs experiments and data analysis, putting results into context within the literature of the field (with guidance from PI
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for this position. Work Experience: No specific work experience is required for this position. Skills: Animal Models, Bioinformatic Analysis, Cell Cultures, Communication, Critical Thinking, Library Construction
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project in collaboration with the International Institute for Applied Systems Analysis (IIASA). The project will convene experts in climate change and health, demography, sustainability, migration, systems
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collection, and analysis directed by scientific questions in the social and health sciences. The scope of the position is open. Potential projects include, but are not limited to: Improving data collection
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requires working collaboratively with a team of experimental and computational biologists focused on single-nucleus RNA-seq data analysis and “multi-omics” data integration with a main goal to identify
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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combines human samples, mouse models, and in vitro culture system, and leverages single-cell technology, bioinformatic analysis, and mechanistic interrogations to revolutionize our understanding of gut
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peer-reviewed journals. Ability to guide research projects. Background in or desire to learn bioinformatics analysis techniques. Good interpersonal skills and willingness to mentor students and