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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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, temperature, cleaning agent concentration and cross-flow hydrodynamics), including membrane integrity testing over accelerated cleaning cycles. Understand the cleaning mechanisms for the different types
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carbon caputure using fluidised bed technology. The project focuses on the numerical modelling of the hydrodynamics of fluidized beds including heat and mass transfer. However, common CFD-models require
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Homepage https://earth.ecu.edu/ Advertising Department EARTH, ENVIRONMENT & PLANNING, DEPT OF Division Academic Affairs Classification Title Postdoctoral Scholar Competency Level Working Title NOAA ESLR
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hydrodynamic and mechanical stimulation using advanced microscopy; - Developing multiphysics models of fluid transport and tissue deformation (COMSOL Multiphysics); - Validating the platform using patient
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become part of a laboratory that covers a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed
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-based HEC systems (HEC-RAS and HEC-HMS) and ADCIRC/SWAN and related hydrological and hydrodynamic modeling frameworks. • Support model setup, execution, calibration, validation, and post-processing
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, linked to industrial production, fluid flow optimisation and design of energy technology applications and magneto hydrodynamics. Project description Efficient operation of hydraulic turbines is critical
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planning. Physically based hydrodynamic models, provide accurate simulations but are computationally expensive and difficult to apply nationally in real time. Satellite-based approaches, particularly using
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence