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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics
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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 – particularly in
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computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness to work within a multidisciplinary group. Demonstrated skills in scientific writing in the form
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date. Summer work is limited, and year-round employment is not guaranteed. ***** Join the dynamic IPF Custodial team, to perform cleaning and maintenance activities that support MSUs mission of advancing
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dynamics in protected agriculture systems, encompassing moisture generation, transpiration, and dynamics in air and substrate. The postdoctoral researcher will develop and validate computational models
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Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career opportunity with great benefits? Look no further! Join our
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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source code development methodology is highly desirable, as is experience with numerical methods pertaining to fluid dynamics or plasma physics. Applicants must submit their application materials
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The Division of Cardiovascular Medicine , within Stanford University Department of Medicine , is a dynamic and innovative center dedicated to excellence in research, medical education, and clinical care. Our
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Science. Numerical analysis and simulation for the complex systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science