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) Perform data analysis, visualization, and interpretation of results Help compare and rank different insulation design configurations Assist in preparing reports, figures, and documentation Support general
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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databases and structured and unstructured data mining tools Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases HOW TO APPLY: Applicants should
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: Department of Biology (Professor Jon Sakata) Position Summary: Assists in the collection of bioacoustic and behavioral data. Assists with the analysis and visualization of data. Assists with integrating new
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) Data gathering, cleaning, and analysis of healthcare data from local and national databases to build ML and AI models for healthcare; (2) Implementation of real-world AI applications for clinical use
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against independent sources. Data summary and analysis. Developing visualization tools to present results. Develop proposals that will be submitted to external funding agencies. Development of Research
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(including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data interpretation and
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analysis, visualization, and integration. Technical data support: Serve as a technical data partner, assisting investigators, trainees, and staff with data processing, analysis, and workflow implementation
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and behavioral trajectories. Communicate well in a team environment and regularly present the state of work. Assist with data visualization and contribute to document analysis, observations, and results