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datasets to ensure they are suitable for analysis; and conduct statistical analysis using a range of descriptive and advanced modelling techniques, interpret the results, and write up findings in a clear and
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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of Cybersecurity that includes Network Design/implementation, Systems Security, Network Security, Security Strategy/Analysis and Cyber Threat Intelligence. SUNY Suffolk is a comprehensive community college
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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Paulo state, Brazil, to work on the FAPESP Thematic Project entitled “Integrated Development of Biorefinery and Sugarcane Bioethanol Plant with Net-Zero CO2 Emissions: Pathways to Convert Renewable
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. This project will use state-of-the-art live-cell super resolution microscopy and automated image analysis to both visualise the 3D architecture of keratin networks in epithelial monolayers. You will explore how
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growth inhibition assays). Participation in data analysis and report writing. Required Profile: Student in Master 2 or engineering school in biology, biochemistry, biotechnology, or microbiology
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related to social network analysis. For the project information and job inquiries, please contact the Principal Investigator: Dr. Zhou Jiajia at email: jiajia_zhou@hkbu.edu.hk . The initial appointment will
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(national, European and international) Established network of scientific collaborations in oncology research Expertise in oncology biomedicine, with emphasis on cancer genetics High level of proficiency in
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of this class is to perform administrative and technical work in securing and supporting the College's computing and/or network infrastructure. Master's degree in cybersecurity, information security, or related