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Field
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Manzini (PI) and a senior graduate student in the laboratory, the Temp Research Assistant (TRA) will be responsible for the performance and analysis of experiments focused on investigating how sex hormones
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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and analysis of data to be submitted to senior members of the research team for there analysis. Assists with communication with patients and families regarding ongoing quality improvement activities and
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as they learn new tasks. This could involved conducting focus groups, qualitative interviews, data entry, data analysis, literature reviews, etc. The Presidential Research Fellowship (PRF) is a
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searches, organizing findings and data, simple data analysis, and summarizing findings under guidance. Aid in preparing submissions to CREB, and other simple written materials (summaries of literature
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including data collection, data analysis and interpretation. 3. Support the research team with design and delivery of public engagement activities including co-production workshops with key stakeholders. 4
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successful applicant will support all technical aspects of lab activities, including equipment set-up, data acquisition and analysis. Additional duties include subject recruitment, assisting in
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. Most positions will include laboratory research, data collection, and analysis. Transferable Skill Development Position Duties 100%: Duties to be determined by hiring unit/supervisor and may include book
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Investigator and Lab Manager, the Temp Research Assistant (TRA) will be responsible for the performance and analysis of experiments focused on investigating how immune cells function in health and disease
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques