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Field
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and optimizing post-plasma catalysis strategies, we want to create an energy-efficient and scalable method that reduces greenhouse gas emissions and supports the transition to a carbon-neutral chemical
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background in linear algebra, finite fields and rings; Strong background in digital hardware design and design automation; Excellent hardware design, programming, and debugging skills; Experience with computer
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. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from mathematical machine learning
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a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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exchanges. A special element will be the design of EXPLORA kits: through teamwork with other doctoral candidates in the network you will make an EXPLORA kit forming a meaningful contribution towards science
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often empirical and applies both quantitative and qualitative methods. As a PhD candidate in our section, you can design your own PhD project. The themes described below serve as inspiration and reflect
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. communities of homes that have very low or net-zero greenhouse gas emission and are highly energy-efficient, have become a key component of the energy transition. The EmPowerEd project is a large national
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essential for transitioning to a carbon-neutral and energy-efficient society. Methane, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a
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plasma catalysis. The development of innovative and green chemical processes is essential for transitioning to a carbon-neutral and energy-efficient society. Methane, a key component of natural gas and a