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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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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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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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learning or educational design and development in an academic environment Understanding of the learning process and the translation of learning requirements into high-quality educational resources Project
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the supervision of dr. ir. Mathias Peirlinck and dr. ir. Aimée Sakes. The Peirlinck Lab integrates multimodal experimental data, physics-based modeling, and machine learning techniques to understand, explore, and
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conditions. The acquired data will then be used to validate own-developed numerical and physical models for sedimentation, so that a solid calculated estimate can be made in real cases and real situations
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, Physics, Applied Mathematics, Computer Science, or another relevant engineering subject. Previous experience in health-related applications. An outstanding track record in conducting innovative academic
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contributes to offer professional education in a flexible and effective way. You take care of a seamless process of enrollment, administraton and certification of the customers of the TU Delft Extension School
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equipment. We are looking for a technician with preferably a college education in a technical discipline (physics, mechanical engineering, systems design, mechatronics, etc.). Work includes lasers, optics
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. This role focuses on advancing the field of wind plant aerodynamics through innovative experimental methods, physical modeling, and data-driven approaches. Your key responsibilities are: Educational Support