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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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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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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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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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the selection process. In addition, you will be required to apply for an exemption from the knowledge embargo for specific research and educational areas. Applying for an exemption for specific research and
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conventional automation approaches. The multidisciplinary SAM XL team consists of Robotics Software, Robotics System, Mechatronics and Manufacturing Process Engineers. In a dedicated factory space of 2000 m2 SAM
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synthesis of reagents and testing these reagents in C-term modification of peptides *Characterize products with an array of physical chemical methods (NMR, MS, HPLC, etc) *Develop, analyze and optimize new
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optimize the qubit performance by gathering statistics on qubit quality. Moreover, you will largely automate this process. Your conclusions and feedback will enable the design, fabrication, and operation of