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, execution, and successful launch of the MSc programme. The role holder will take responsibility for the quality of the design of the new Master of Science in Drug Discovery with Industrial training programme
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Application Deadline 31 May 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Application Deadline 31 May 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Application Deadline 31 May 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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accepting applications for this job through MathJobs.Org right now. Please apply at https://ams.cnu.edu.cn/ . Contact: liew, +86 010 68907463 Email: Postal Mail: 105 North Xisanhuan Road, Beijing City,China
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. Please explore our websites http://math.njnu.edu.cn/ (in Chinese) and http://schools.njnu.edu.cn/math/ (in English) for more information. Application Materials Required: Submit the following items
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and experimental particle physics, nuclear physics, detector technology, and electronics for nuclear physics and complex systems. More info can be found in https://iopp.ccnu.edu.cn/en/ Qualifications
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an application via our on-line application system before Beijing Time 23:59, 4 January 2026 at https://jobs.nottingham.edu.cn/job/184411/ . Only on-line applications made at (https://jobs.nottingham.edu.cn/ ) will
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physics and complex systems. More info can be found in https://iopp.ccnu.edu.cn/en/ Qualifications: The successful candidate must possess a Ph.D. in Physics or a closely related discipline with an
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/ Responsibilities: Make good use of program-related knowledge and expertise to carry out university teaching and practical project tasks. Undertake duties assigned by the School with high performance in execution