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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and
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closely with our faculty to implement simulated results in the clinic and develop novel treatment methods. 3-Data Management & Analysis Manages and analyzes vast datasets related to radiation treatments
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, western blotting, and cell culture Experience with murine models of bacterial infection Proficiency in experimental design and documentation, data analysis and visualization, and troubleshooting Experience
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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. Responsibilities: This postdoctoral position will involve participating in existing studies, leading independent research, as well as conducting analysis of existing data, which can range broadly from psychosocial
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and Run 3 data in the top-antitop + photon analysis using effective field theory. The candidate will take a leadership role to move the analysis toward publication. Minimum Education Required Ph.D
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fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be on the identification of small molecules from mass