21 parallel-computing-numerical-methods positions at UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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30 Sep 2025 Job Information Organisation/Company UNIVERSITY OF NOTTINGHAM NINGBO CHINA Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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30 Sep 2025 Job Information Organisation/Company UNIVERSITY OF NOTTINGHAM NINGBO CHINA Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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University, and offers unique teaching and research opportunities in a highly dynamic economy. About the School/Department This is an exciting opportunity to join the School of Computer
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University, and offers unique teaching and research opportunities in a highly dynamic economy. About the School/Department This is an exciting opportunity to join the School of Computer
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, developing, testing and validating actual machines and prototypes, such as (quasi-)autonomous AGVs, UAVs, and serial and parallel robots. The role also involves designing and delivering undergraduate and
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China Application Deadline 30 Sep 2025 - 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
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Deadline 28 Aug 2025 - 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 position
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standards and contribute generally to the development of teaching methods and assessments in the department, especially in the areas of building science and building/urban technologies. They will act as
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the Postgraduate Certificate in Higher Education (PGCHE) programme. About our School/Department The PGCHE programme is housed within EDEN where tri-campus schools in China, the UK, and Malaysia are brought together
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(both theoretical and applied), Microeconomics (applied micro, labor, health, industrial organization, financial economics) or Applied Econometrics (including causal inference, machine learning, program