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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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environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles
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PhD Position in Parsing and Formal Representation of Geographic Questions Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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project, you will explore the use of formal methods from computer science (program synthesis and probabilistic programming) and control systems analysis approaches to derive human understandable strategies
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project, you will explore the use of formal methods from computer science (program synthesis and probabilistic programming) and control systems analysis approaches to derive human understandable strategies
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related discipline in which chemistry and biology have been combined. independent in performing synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based
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synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based assays is highly preferred. high intrinsic motivation for multidisciplinary and translational
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synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based assays is highly preferred. high intrinsic motivation for multidisciplinary and translational
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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on your background, the work will 1) focus on the interaction between microwave design and measurement methods, looking deep into the technological capabilities of GaN, or 2) focus on new methods