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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 21 days ago
longitudinal quantitative analysis, as well as access to vibrant research communities and specialist methods training. Application Process To be considered for this PhD, please complete the Strategic Joint
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the province; Preparing ethics applications for research involving human participants; Developing surveys and other data collection instruments; Collecting, organizing, and analyzing qualitative and quantitative
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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
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Experience and knowledge of rural and Indigenous health Experience and knowledge of epidemiologic data and analysis Experience and knowledge of large health datasets Experience and knowledge of qualitative
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setting Knowledge and experience in Educational AI-related projects and research is important. Responsibilities: Working with related LLM and database, Data scanning and collection, data analysis with
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. Applications close 1 October. For more information and to apply visit The Freemasons University Scholarships . The Fellowship supports exceptional doctoral students currently pursuing a PhD in electrical
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for those aspiring to obtain a PhD in the future. Employees must maintain professional confidentiality. [Work content and job description] As a research position, you will perform toxicological analysis using
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expertise and training in techniques including: o Western blotting, ELISAs, and qPCR o Histology, immunohistochemistry, and brain tissue processing o Quantification and analysis of brain histology data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
contributor to the LEGEND collaboration, with major roles in detector development and characterization, electronics readout and data acquisition, and software and analysis development activities. The UNC group
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining