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well as collaborate effectively within a larger research team. Good written and spoken English. Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is advantageous. TU Delft
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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master’s degree in (applied) physics or a closely related field Basic knowledge of plasma physics, fluid dynamics, and preferably of nuclear fusion energy. Experience with managing one’s own scientific
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of Technology and QuTech. The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware
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including fusion and braiding which are special qubit operations unique for Majorana bound states. We will study the effect of improved protection on these operations when making the chains longer. In
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to protect against these disturbances. We will explore new gate operations including fusion and braiding which are special qubit operations unique for Majorana bound states. We will study the effect