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topologies (sampling problem) and angular estimation algorithms (estimation problem) is required, while considering the physical effects (EM problem). The novel idea in DoAnt is to develop an EM-driven
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mentoring and interacting with students, while growing your own skills and expertise. You also have: A PhD in a relevant subject, such as atmospheric sciences, (applied) physics, (applied) chemistry
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phenomena in a tunable fashion, to simulate non-trivial quantum physics, and ultimately to compute classically hard problems. A foundational aspect to make impact and to enable advances in this domain is the
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that. This PhD offers ample freedom to pursue your research interests, be it in responsible AI, cybersecurity, privacy-by-design, etc. for mobile networks, and in that process we will not only consider functional
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additive manufacturing. We will work with CEAD who have developed an additive manufacturing process combined with fibre reinforcement to drastically enhance the properties of very large printed structures
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physical healthcare spaces, how can architecture help mediate and enhance the ethical dimensions of care, particularly concerning patient autonomy and consent in an increasingly monitored environment
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that the manual process is very time-consuming and error-prone. To help drive efficiency, computer vision is crucial, yet so far the focus has been on single-camera data analysis. As a PhD at TU Delft you will
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) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a particular system responds to a stimulus, and how this stimulus is processed
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than two spherical daughter vesicles, even though there may still be an energy barrier involved in the actual splitting process. To achieve this goal, we will use a combination of analytical and
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. Master's degree in Earth sciences, physics, applied mathematics, engineering, computer science or related disciplines. A strong background in either: ) fluid dynamics and numerical modelling ) satellite