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sensory, physical, medical and/or learning difficulties/disabilities. No application required, eligible applicants for the University of Auckland Top Achiever Scholarship, the University of Auckland Māori
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. The scholarship is to support women who are New Zealand citizens and who are at least 25 years of age to make a step into, or to return to tertiary-level learning. The scholarship may be used for fees, living
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environments: The C-Wild Warrington lab (Ecology and Conservation ) and the Machine Learning and Robotics research group (Artificial Intelligence, Data Analysis and Systems ). This will provide
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outcomes and economic performance, specifically addressing challenges such as overdiagnosis in cancer care. We will utilize economic theory, simulation, economic evaluation and machine learning to quantify
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(predictive) modelling, for example machine learning approaches. Experience in conducting field work in polar or alpine regions. Strong and preferably demonstrated interest in interdisciplinary work at the
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 2 months ago
., mixed‑effects models, machine learning and network analysis). A Master’s degree (with distinction/merit) is desirable. Current Master’s students are encouraged to apply, indicating their expected degree
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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solutions that are practically viable. The successful PhD candidate is expected to carry out research on one or more of the following focus areas: Developing and training robust machine learning surrogates
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.