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Field
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anemometers. Develop Measurement Techniques: Innovate and refine experimental methodologies to quantify uncertainties in fluid dynamic measurement systems. Experimental Data Analysis: Utilize MATLAB, Python
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Mechanics. Biological Fluid Mechanics. Professional Experience: Design and development of experimental flow circuits. Running experimental campaigns. Applications of biological fluid mechanics. Experience in
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical
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measurement techniques such as particle image velocimetry (PIV), laser Doppler velocimetry (LDV), and hot- or cold-wire anemometry is highly desirable. Computational Fluid Mechanics position: - PhD in
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plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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the office. Duties: Prepare clients to see fitness trainers Maintain appropriate inventory of supplies for the practice Clean and stock supplies Occasional back up to the front desk Cleaning and upkeep
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Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD