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the bearing. To optimally re-lubricate, it is vital to understand this mixing process. Currently, the scientific knowledge of re-lubrication is non-existent. This project will build new knowledge on several key
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(PEM), and focused ion beam (FIB) imaging - can be combined with AI to reconstruct nanoscale chip structures and infer functional behaviour from physical layouts. The project addresses the challenge
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include: developing and extending process-based crop models describing physiological processes (e.g. carbon partitioning, organ growth, reproductive development and harvest index) under dynamic environments
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, such as ptychography, in which we reconstruct object images from measured diffraction data. We produce coherent EUV radiation using a process called high-harmonic generation (HHG), which is an extremely
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requirements A Master’s degree in electrical engineering, microelectronics, applied physics, photonics, materials science, nanotechnology or a related discipline. A solid foundation in semiconductor device
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. ir. R.J. Wiegerink at [email protected] . Screening is part of the selection process. About the department The IDS group is part of the Faculty of Electrical Engineering, Mathematics, and
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inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
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, and how immersive virtual reality and behavioural data such as movement, interaction, and eye-tracking can be used to study this process. Specific research objectives Develop VR-based experimental tasks
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Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements . Please note: You can apply online. We will not process
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in