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, steel tubular joints, fatigue, steel fracture, experimental testing and finite element analysis. Applicants are invited to contact Prof. Zhao Xiao Lin at telephone number 2766 4474 or via email at xiao
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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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at the time of application; (b) strong background in SLA theories and methodologies; (c) proficiency in quantitative and qualitative research methods; (d) demonstrated ability to publish in high-impact
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(two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling