319 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in China
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/EXPERIENCE: Numerical machine leaning/Scientific Machine Learning are highly expected Preferred research directions: Numerical Optimization and Scientific Machine Learning. A PhD in Mathematics or Applied
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postgraduate and undergraduate levels. • Demonstrated capacity or potential for future innovation in research and teaching is essential. Application materials Submit the following items online at https
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preference for scholarship on the relationship between China and the World; candidates with an ability to teach a course on China-Africa relations should indicate this in their application. The successful
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allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https://career.admo.um.edu.mo
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for the management of modules needed by new Academics across Faculties for qualification/accreditation to teach in the UK higher education system. The programme and material for the teaching and assessment
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areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research potential or established academic records in these areas
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Publish research results in peer-reviewed journals Teach courses within the philosophy department (see below) Supervise graduate students Apply for external funding In the mathematical logic group, we
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there is any problem with the online application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . To apply: Applications should be
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information of the center, please visit https://www.scms.fudan.edu.cn/ . Application Materials Required: Submit the following items online at this website to complete your application: Cover letter
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there is any problem with the online application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . To apply: Applications should be