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. The project will focus on automated distributional shift detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty
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respected publishing houses, recognised as the ABIA Small Publisher of the Year in 2021, 2022, 2023 and 2025. We’re seeking an experienced Sales and Distribution Manager to lead UQP’s domestic and
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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. #sustainability Project description For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD
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based on electronic medical records. It is also attractive for novel applications, e.g. multimodal applications in meta-verse, which have little data for training and evaluation. This project focuses
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, and optimise paid digital marketing and social media campaigns across platforms such as Meta, TikTok, Snapchat, and LinkedIn (and more) to maximise reach, engagement, and ROI. Develop and manage
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-readable representations, such as distributed representations of text augmented with random noises [1] or unnatural text curated by replacing sensitive tokens with random non-sensitive ones [2]. First, such
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, and education and meta-research. Your research and teaching expertise would be in any one of these areas. More generally, we are keen to continue to evolve in translational, interdisciplinary, and
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve