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Field
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control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and neural networks (including operator learning and
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degree in Mechanical or Vehicle Engineering or the related fields 3-year research experience in combustion, emission, or thermofluid modelling. Expertise in numerical simulation methods, particularly
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successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Urban climate modelling) Posting Start Date: 20/11/2025 Job Description: Job Description We are seeking a highly motivated and
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance
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models for low-dimensional material nanophotonics. Apply numerical models, design photonic nanostructures and measurement of the research above. Build the optical setup to measure the properties
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experiences in power system modelling / technical hands-on experience in power grid dynamics and control Familiarity with power grid modelling tools Good written and oral communication skills Proficiency in
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located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one
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processes to the urban scale through numerical modeling of greening strategies in two cities, Toulouse (France) and Berlin (Germany), to assess the impact of the two types of green envelopes on carbon
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systems and developing new design methods. Key Responsibilities: Conduct experiments on innovative structure systems Conduct numerical modelling Assess existing design codes Propose new improved design