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of high-resolution multibeam bathymetry and flow surveys, enabling detailed analysis of how riverbeds evolve under and after mining. These observations will be complemented by physical experiments in
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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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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Turkmendag Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be
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, Newcastle University Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example
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and programmable biomaterial synthesis. The ability to program the behaviour of biomolecular chemistry is foundational for developing new biotechnology applications. Redox-sensitive molecules are a
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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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our ability to predictably control and exploit the drop for useful tasks. The proposed project has two aims: First, to develop computational models to quantitatively predict the response of chemically
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial