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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable and green AI. Use cases in
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to the requirements for learning or inference by various AI modules deployed in the devices and the network. This line of work will investigate the fundamental tradeoffs among latency, accuracy, and energy efficiency
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine
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). Footage will be collected using various underwater cameras deployed near the seabed. The sampling methodology is considered non-invasive because no fish is harmed, and the sampling infers almost
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; 1) tracking the historical transformation in medical and cultural representations of benzodiazepines and related substances in Europe 2) digital trading practices among dealers through online markets
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well as subfields adopted by faculty, and in a wide range of core subjects in the MSc programme. The Department consists of some 75 faculty members, which currently includes more than 10 tenure-track assistant
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with an excellent GPA or a proven track-record of relevant research will be considered for an interview. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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technologies that support elderly individuals living at home, advancing smart healthcare solutions with the goal of enabling broader applications in remote monitoring, home-based health tracking, and