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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 18 hours ago
is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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experience at the time of application. Applicants are invited to contact Prof. Hu Xianpeng at telephone number 2766 4034 or via email at xianpeng.hu@polyu.edu.hk for further information. Conditions of Service
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. Zou Xiang at telephone number 3400 8574 or via email at xiang.y.zou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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at telephone number 2766 6608 or via email at mfcytang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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, Plant Science, Environmental Science, or a related field. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics data processing Strong