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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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’ sub-menu below. Further Information Enquiries about the Killam Postdoctoral Research Fellowship can be directed to killam.fellowships@ubc.ca
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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 3 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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modeling is a plus. Special Instructions Contact Information Professor Daniel J. Jacob Contact Email djacob@fas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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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