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Field
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they leave. The project offers opportunities to work with large-scale datasets (rich Danish register data and international job-posting data) and modern methods such as text analysis, causal inference, and
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for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative leap in AI through a groundbreaking Centre initiative
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reflected off the ocean, it is possible to infer parameters such as wave height, sea‑ice coverage, and wind conditions. In this project, we aim to go a step further, and investigate whether these signals
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experience (front-/back-end, metrology/inspection, equipment maintenance, yield-improvement projects). Digital twin, IIoT, MLOps, real-time data streaming, edge computing. Causal/XAI, Bayesian methods
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
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communications; (2) low-latency and time-constrained communication; (3) satellite and non-terrestrial networking; (4) interplay between AI/ML learning/inference and communications; (5) communication and sensing
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– to enable causal inference analyses within the project period. The PhD candidate will be part of a multidisciplinary research environment at the HUNT Center for Molecular and Clinical Epidemiology, and the
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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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Qualifications The ideal student has background in Economics or Public Policy. We are searching for someone with strong quantitative skills with a particular focus on causal inference and a keen interest in