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well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields. Strong
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to the Singapore Centre for 3D Printing (e.g. competitions, conferences and hosting visits) Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering Engineering Design and Optimization
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computational fluid-solid mechanics with a focus on coupled poromechanical modelling for coal seam gas (CSG) production, fluid injection, and geomechanical responses such as subsurface compaction and subsidence
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and Instrumentation) Dr Bing Guo (Environmental Monitoring) Dr Giovanni Iacobello (Fluid Mechanics and Data Analysis) Dr Belen Marti-Cardona (Remote Sensing) Dr Sajeeva Abeywardena (Robotics) About
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). Qualifications Candidate must have a relevant Ph.D. degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in
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heat and mass transfer, thermal comfort, and computational fluid dynamics (CFD). These skills will be applied to design, evaluate, and optimise strategies that enable the effective implementation of MMV
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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28 Aug 2025 Job Information Organisation/Company Universidade de Coimbra Department Department of Mechanical Engineering Research Field Engineering » Mechanical engineering Researcher Profile First
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the supervisor Qualifications A recent PhD in Mechanical Engineering or a related field, focusing on Thermofluids Experience in Numerical Simulation (Finite Element Analysis and/or Computational Fluid Dynamics
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clinical, neuroimaging, fluid biomarker phenotypes and neuropathology for validation. Your mission: Extract novel biomarker signatures and therapeutic targets that explain disease heterogeneity across