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Field
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capability and scalability of multi-scale and multi-physics simulation codes. Develop turbulent combustion models for predictive CFD simulations of combustion dynamics in rotating detonation engines (RDEs
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molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning
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presentations. Your profile Applicants should hold a PhD in mechanical or process engineering or similar. The selected applicant must have a high level of expertise and experience in CFD, specifically in using
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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presentations. Your profile Applicants should hold a PhD in mechanical or process engineering or similar. The selected applicant must have a high level of expertise and experience in CFD, specifically in using
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General Research Fund (GRF) grant for studying infectious airborne disease transmission in relation to urban and building-level airflow paths. Applicants should possess a PhD degree in Engineering, Computer
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, holistic planning and scheduling to optimize resilience across several factory systems. Development of AI-based tools and complex simulation systems is expected to be a core contribution. 3) IT and OT
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from start date About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Biological Sciences, Molecular Biology
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must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications most
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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims