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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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’ sub-menu below. Further Information Enquiries about the Killam Postdoctoral Research Fellowship can be directed to killam.fellowships@ubc.ca
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
competencies in research methodology, data analysis, scientific presentation, and manuscript writing skills that support career advancement in regulatory science, pharmaceutical development, or academic research
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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of migrant nurses, providing valuable information on the nations that migrant nurses pass through, the time they spend in each place, and how their migration patterns might shift in response to recruitment
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with