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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The position will entail participation in field operations and analysis of data collected by our research group’s air-sea flux
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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and analysis Assist in compiling and cleaning datasets Assist with documenting research processes and maintaining organized research files and datasets Assist with data visualization, tables, and
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scientific articles. c) Conducting semi-structured interviews using visual methodologies, including transcription and qualitative data analysis, as well as the writing of the corresponding scientific articles
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organize large datasets from diverse environmental sources. Advanced Analytics: Perform statistical modeling and data visualization using Python, R, and SQL. Meta-Analysis: Synthesize findings across
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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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: 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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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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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