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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet . Sign On Bonus of Up to...
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of High-Order Structural Models Based on CUF and Advanced FEM
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RAP opportunity at National Institute of Standards and Technology NIST FEM simulations to characterize mechanical properties and deformation behavior in advanced packaging applications Location
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sensores piezoeléctricos y ópticos. Tratamiento de datos (preprocesado y postprocesado) Realización de ensayos mecánicos y térmicos. Validación mediante FEM / Selection and characterisation of piezoelectric
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
analysis of parameterized finite‑element models. By integrating data‑driven and FEM‑based approaches, a hybrid model is developed that accurately represents physical relationships while providing real‑time
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Engineering Design and Optimization Human Factor and Ergonomics AI-based Sensor Fusion Monitoring and Inspection using various sensors Optimization and control to implement sensors. Skills: FEM software (Comsol
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software (e.g., FEM, FDTD) R&D project management skills Fluency in both English and French Abilities and skills: Strong interpersonal and communication skills Ability to work independently and take
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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prediction, uncertainty quantification) and analysis of data from monitoring systems or industrial processes. • Knowledge of hybrid modelling approaches combining physics-based models (e.g., FEM, fracture