13 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" research jobs at University of New Hampshire in United States
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USNH Employees should apply within Workday through the Jobs Hub app New HampshireView, an AmericaView member state (https://americaview.org/), is looking to host a research technician within the
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, Cellular, and Biomedical Sciences, contributing to general laboratory and animal room operations as well as ongoing scientific investigations through experimental design, data collection and sample
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Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position focuses
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. The assistant will work directly in early childhood or K–12 educational settings to administer assessments, collect observational data, and assist with organizing study materials. This position requires strong
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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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. Quantifiable information about polynya dynamics can be obtained from satellite imagery revealing long, regularly-spaced 'windrows' of nascent ice crystals generated by a subsurface flow known as Langmuir
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secondary educators. This is aligned with approved grant activities. Duties/Responsibilities Assessments (15%) Administer standardized assessments Data (30%) Conduct and coordinate data collection Analyze
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impact journal articles. Programming and Computing Skills: Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF). Strong programming skills in a tool that allows
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vibrantly interdisciplinary atmosphere in the University, the College of Liberal Arts, and the department. For more information on Classics at UNH and RGSCP, visit cola.unh.edu/chi . The University of New
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is