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project aims at improving existing methods and exploring new ways to efficiently and systematically model and simulate all aspects of CVD processes. The basis for this will be Computational Fluid Dynamics
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used in synergy with immunotherapy to achieve optimal immunity against lymphomas. The project also aims to uncover the mechanisms that drive resistance to immunotherapy, using methods such as spectral
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In this WASP financed project, the research will focus on the study of multiagent automatic control methods for closed loop (CL) control of dynamical systems that adhere to safety constraints while
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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experience in tissue sampling and laboratory methods such as immunohistochemistry, genotyping, and ELISA. Have expertise in, and experience with configuring, programming and supporting Med Associates
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to meter-sized reactors and relatively slow gas flow velocities. Different modeling methods are necessary to cover all aspects of the CVD process. For instance, a combination of computational fluid dynamics
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magnetic resonance (NMR) spectroscopy will be the main applied methods. As a PhD student you will be expected to conduct independent research in line with the research focus. The work assignments