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process in imaging optics is inherently multi-objective, involving different competing performance criteria. This could be on a more systematic level the interplay of quality, cost and manufacturability but
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of Amsterdam, under the supervision of Prof. Noushine Shahidzadeh (expert on crystallization and sol-gel process in confinement) and Prof. Hannelore Derluyn (expert in micro-CT 3D imaging for porous media
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requires detailed imaging, beyond what is currently possible in humans in vivo. In an NWO-funded Vici project, we leverage Ultra-High Field MRI to bring the cerebellar mesoscale into view. In this PhD
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home, regardless of differences in background, experiences, perspectives, and identity. For more information, see also our page about our diversity policy . Our selection procedure follows the guidelines
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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grow potato plants in the automated phenotyping facilities of the Netherlands Plant Eco-phenotyping Centre (NPEC) external link . Using high-resolution imaging, you will follow plant growth, physiology
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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suspension pipe flow by 30–40% across different flow rates. This makes designing and controlling these flows difficult. The difficulty arises partly because these flows do not fit the conventional ‘laminar
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these