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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
mechanics; experience in one or more of the following areas is highly desirable: non-Newtonian fluid mechanics, interfacial flows, fluid-structure interactions, and constitutive modeling of complex fluids
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will contribute to this challenge by advancing the modelling of particle transport and fluid–soil interaction in dikes. A key scientific challenge is to represent the complex interaction between soil
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their surrounding environment through complex aerodynamic or hydrodynamic interactions. These interactions are highly nonlinear and depend on the robot geometry, local flow conditions, turbulence, and external
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limited for two years specialised in complex fluids. In addition to research and teaching activities, the successful candidate will head the core facility “Interface Characterisation”. Your future position
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Senior Scientist limited for two years specialised in complex fluids. In addition to research and teaching activities, the successful candidate will head the core facility “Interface Characterisation
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ambitious researcher to publish high-impact science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry researchers. We provide a
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-surface flows (Level-set, Volume of fluid method) is a plus. Working knowledge of computer-aided design (CAD) software, such as AutoCAD, CATIA, SOLIDWORK, FreeCAD or similar is required. About ORNL: As a
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Structural, thermal, and fluid flow FEA of complex engineering systems (ANSYS preferred) Material selection, manufacturing processes, and GD&T Past success testing and validation methods for structural and
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex