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Field
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The Research Assistant will be assisting on various projects in the lab by conducting bioinformatics analysis. Responsibilities Responsiblities include: Helping lab members with transcriptome analysis Working
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in the analysis of complex healthcare problems. Of particular interest would around the appraisal and evaluation of healthcare technologies and data science approaches. This work is key to the Division
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on Sub-study 3 - the analysis and evaluation phase. These are casual roles in which the work hours will vary from week to week depending on participant availability and project demands. We anticipate
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. Most positions will include laboratory research, data collection, and analysis. Position Duties 100%: Duties to be determined by hiring unit/supervisor and may include book reviews and publication
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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 | about 1 month ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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vertebrate animals and human subjects. Conduct dry-lab tasks such as data analysis, figure generation, data management, and basic bioinformatics Assist with research compliance including writing and updating
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other human fluid and tissue samples, data collection, processing and analysis, database development, assist with participant recruitment, and project coordination and administration. This role is part of
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, bioinformatic software for DNA sequence analysis, genome-editing technology and organismal husbandry. Classified Title: Research Program Assistant Role/Level/Range: ACRO40/E/02/CB Starting Salary Range: $15.40
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criteria Experience working with unfamiliar open-source software (assessed at: application/interview). Familiarity with basic experimental evaluation and data analysis (e.g., plotting results, interpreting