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analysis and visualization, assuring quality of results alongside an ability to communicate effectively with collaborators and other team members. Develop and maintains analysis codes with all required
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for co-authorships for a qualified candidate. A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS
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complicated networks and firewalls Experience developing and maintaining software for scientific data acquisition, analysis, and visualization. Experience with client/server applications and web services
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to support the Department of Economic Opportunity High Road Training Partnership (HRTP) initiative project. The Analyst will lead research coordination, methodology design, implementation, data analysis and
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advanced data analysis utilizing Excel or similar software, developing Tableau dashboards to support decision-making, and applying AIâ‘enhanced analytical tools to improve forecasting, reporting, and
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. The candidate will apply and further develop computational workflows (e.g., R) for compound identification in complex matrices, with emphasis on R‑based data evaluation and visualization. The position also
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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in data analysis, scientific visualization, and signal processing will be considered an asset. The candidate should demonstrate autonomy, scientific rigor, and teamwork skills. Strong abilities in
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managing longitudinal datasets, data analysis, quality assurance activities, and data visualization. Will support these data activities for manuscripts, grant submissions, and programmatic needs. Ability