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Field
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 2 months ago
will perform grant-funded research projects, including experimental design, sample preparation, data acquisition, data analysis and interpretation, research presentation at national/international
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20 Jan 2026 Job Information Organisation/Company Jagiellonian University Faculty of Philosophy Department Institute of Comparative Studies of Civilisations Research Field Cultural studies » Regional
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, Biology, Bioengineering, or related field. Strong technical background in experimental rig design and construction. Proficiency in Python programming for data analysis and experimental control. Experience
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Institutional Review Board (IRB) submissions at a major academic institution. Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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high-quality peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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contributes to ARAC’s scientific portfolio through independent data analysis, development of computational workflows, integration of genomic and epidemiologic datasets, and coordination of research activities
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scientific publication and writing articles in international journals; 8) Experience in data visualization tools and advanced statistical analysis (e.g., pandas, scikit-learn, matplotlib, seaborn, SHAP