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3D Representation for Controlling Composite Fabrication Process We are looking for a passionate Postdoctoral researcher to join our team and contribute to a cutting-edge project at the intersection
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3D Representation for Controlling Composite Fabrication Process We are looking for a passionate Postdoctoral researcher to join our team and contribute to a cutting-edge project at the intersection
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry
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bioprocesses still have. This effort includes quantifying the impact of various process routes as well as creating micro-organisms (or consortia thereof) that can deal with new feed stocks or produce more
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Kick off your career in the process industry (chemicals, energy, food, pharma) in Delft. As an Engineering Doctorate (EngD) trainee in Process and Equipment Design at the world-class institute TU
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ultrasound (https://doi.org/10.1109/TUFFC.2022.3148121 ). Optimal imaging inside and behind bone requires to take into account the 3D challenging wave physics imposed by bone tissue: wave refraction, wave
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contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and process monitoring using artificial intelligence. This postdoc will