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learning is solely interested in model selection (i.e., identifying, given the available data for the task at hand, the model that is expected to perform best), we propose a new paradigm for an
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the programme code: 8040F · select ‘PhD Civil Engineering (Structural) (full time) – 8040F as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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and play a key role in growing an internationally visible regenerative engineering team. For further information on The School of Engineering, please click here For full details about this vacancy and
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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). Acceptable first degree: Natural sciences, Environmental sciences, Physics, Chemistry, Mathematics or a similar numerical subject. Mode of Study: Full-time Start Date: 1 October 2026 Funding Information ARIES
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methods, and associated climate data analyses. You will acquire skills in science communication, project management and collaborative research, and will be involved in a project of critical interest