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This project heavily focuses on maps (e.g. GoogleMaps or Open Street Map). We will explore various properties of road networks, including the granularity of road networks, routes and trajectories
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Recent advancements in foundation models have significantly improved AI systems' capabilities in autonomous tool usage and complex reasoning. However, their potential for location-based and map
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. A natural communicator and influencer, fluent in the language of executives, developers, and end users alike. Skilled at turning ambiguity into clarity – through journey mapping, business cases
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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of our dynamic team. This team is the backbone of several core platforms, including Google Workspace, Okta, and Microsoft Identity Manager, and works closely with the Core Authentication Services team
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significant associations and map cancer dependencies according to diverse molecular features. Deriving statistically significant features of “omics” data, integrating with functional dependency data to predict
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to practically storing and presenting a richer array of contextual information. Thanks to substantial investments from “tech giants” like Microsoft, Google, Meta, and Apple, mixed reality displays have rapidly
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allow unsupervised behavioural prediction tools 3, 6, 9 to be applied seamlessly. The student will aim to create a Google Colab 15 notebook, which would connect rodent videos to behavioural predictions
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based
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possible, establish available QoS performance, to map what medical applications are feasible for remote use across the geography. Methodology is necessarily mixed. There will be a significant survey