1,706 data-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" Fellowship positions
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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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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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, 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
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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) actively participate in and lead the recruitment of participants, data collection and analysis; (e) liaise with participants and staff to facilitate study progression and management; (f) conduct
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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