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policy analysis. The project’s PI is Associate Professor Iselin Åsedotter Strønen. For more information about the project, see In/visible women of the sea. Gendering fishery politics and advocacy (GENMAR
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protection data in a cohort of over 10 000 dyads of young mothers and their children to investigate health factors associated with the continuity of child maltreatment across generations in Quebec, Canada. Job
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the Research Assistant will contribute examines how linguistic minoritization—particularly among Francophones outside Quebec—affects access to initial information about medical assistance in dying (MAID) across
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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participate in the development of a high-throughput data analysis pipeline and the development and testing of hypotheses. Key responsibilities Leading the development of mathematical models of post
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Communications and 1 from Physical Review Letters. Some of our works are highlighted by globally prestigious journals including Nature. More information is found here . This will be a great opportunity to join the
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moss will be harvested with the purpose of sphagnum restoration at other sites or as growing media in horticultural production. The main focus of your position will be chamber measurements and data