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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour 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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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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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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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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) 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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premarketing applications housed in internal regulatory science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you