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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated postdoctoral fellow in neuroimaging
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undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big
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include planning, preparing, setting up, conducting and recording the outcome of experiments and fieldwork, developing questionnaires and conducting surveys within the framework of an agreed programme
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functions, including literature searches, drafting proposals, translation, conducting surveys, performing analyses and tests, and drafting manuscripts/reports. To take the lead on, plan, develop, and conduct
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the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing proposals
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surveys, performing analyses and tests, and drafting manuscripts/reports. To take the lead on, plan, develop, and conduct individual and/or collaborative research in the area of material chemistry (e.g
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extension based on performance. The annual salary is no less than RMB 300,000. Outstanding candidates will be nominated for competitive fellowship programs, including the Shanghai Super Postdoctoral Program
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The purpose of this role will be to assist and support the Department of Chemical and Environmental Engineering in carrying out academic research which include literature searches, developing questionnaires
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research conditions and a starting salary of no less than 280,000 CNY (up to 430,000 CNY for extraordinary applicants who are enrolled by national or USTC postdoc program). The anticipated starting date
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municipal talent funds, most of which carry additional research grants. Those who qualify for Dongguan’s special talent program are eligible for an additional 1M to 10M RMB housing subsidies. The exceptional