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with the project 6. Tool and Methodology Development: • Innovate and improve methodologies for CFD modeling of complex natural systems. • Stay updated with advancements in CFD software and techniques to enhance
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on progress and report writing Job Requirements: PhD degree in chemical engineering or closely related field Good understanding of LCA and TEA theories and calculations Experience on ASPEN-HYSYS and LCA
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(including PhD students and research staff) to conduct research work on AI-assisted design; Support the validation of large language models for generative metamaterial design; Assist in building and testing AI
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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conduct and record keeping in accordance with policies and procedures; work on other tasks as assigned. Qualifications The applicant should: have a master's degree or PhD in nursing/psychology/public health
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, UTC/GMT +8). Late applications will be accepted, but may not receive full consideration. Qualifications Candidates must have an earned PhD in a field relevant to Operations Management. Primary Location
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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting
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to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB
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, Finance, Urban Planning, Statistics, or other related field, has evidence of outstanding academic achievements and/or strong quantitative training, has a clear ambition to pursue a PhD in future, has
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purposes. Assist in the development and integration of simulation scenarios, including traffic data, airspace structure, and operational procedures. Ensure regular maintenance, software updates, and