49 computational-mechanics-phd Fellowship positions at Hong Kong Polytechnic University
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for the Postdoctoral Fellow post should have a PhD degree in Nursing, Psychology, Public Health, Global Health or other health-related disciplines or an equivalent qualification and must have no more than five years
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Department of Mechanical Engineering Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (several posts) (Ref. 250610005) [Appointment period
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Department of Mechanical Engineering Postdoctoral Fellow / Research Assistant (Full-time/Part-time) (Ref. 250616001) (1) Postdoctoral Fellow (2) Research Assistant (Full-time/Part-time) (two
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Department of Mechanical Engineering Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (several posts) (Ref. 250612004) [Appointment period: each for twelve months
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Department of Mechanical Engineering Postdoctoral Fellow / Research Associate / Research Assistant (two posts) (Ref. 250610006) [Appointment period: each for twelve months] Duties The appointees
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Department of Mechanical Engineering Postdoctoral Fellow / Research Assistant (Ref. 250514007) (1) Postdoctoral Fellow [Appointment period: three months] (2) Research Assistant [Appointment period
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Department of Mechanical Engineering Postdoctoral Fellow / Part-time Research Assistant (Ref. 250530002) (1) Postdoctoral Fellow (2) Part-time Research Assistant [Appointment period: each for
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the research project - “Mechanism and optimization for hospital bed sharing”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at least three years of postdoctoral
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling