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engineering, physics, atmospheric sciences, or a closely related field. - Strong publication record and demonstrated experience in computational fluid dynamics, turbulence modeling, and wind energy
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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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multidisciplinary team of researchers spanning geology, geophysical fluid dynamics, applied mathematics and geophysical/geodetic volcano monitoring to deliver a step-change in understanding the origin of surface
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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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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are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical linear algebra, numerical methods for PDEs and dynamical
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5 Jan 2026 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Geosciences » Hydrology Mathematics » Computational mathematics Physics » Computational physics
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optimization Experience with Computational Fluid Dynamics is beneficial Experience with laboratory automation and flow platforms Capable of conducting independent research while effectively collaborating in a
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acoustic discretion of surface vessels and submarines. They will also collaborate with the IEMN to design the prototype and the experimental protocol to be tested in heavy fluid Where to apply Website https