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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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areas include, amongst others, personalised and adaptive systems, user modelling and recommender systems, human interaction with embodied AI, and persuasive technology. You will work closely with other
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emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your
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Technology group led by Gabriele Keller external link . As our research group contains core members of the popular Accelerate and Stan DSLs for machine learning and scientific computing, newly developed