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Field
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Wing with Bio-inspired Active Morphing Wingtip" in the research group of Dr Jun Wu at the University of Birmingham. The research focuses on developing a small-scale wing prototype with a bio‑inspired
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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction
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required staff training, process redesign and collaboration among diverse experts to adapt systems and practices. Consequently, new tools and methods were developed to support organisations (Bhalavat et al
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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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My research connects stars, dust, and gas, with the goal of building a unified multidimensional picture of the Milky Way and nearby galaxies. I am particularly interested in the lifecycle of matter
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, cellular and molecular biology Animal handling, animal injections Tissue processing and staining Cell/tissue imaging techniques such as fluorescence and confocal microscopy Online Application Required
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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microscopy Experience in live super resolution imaging Oral and written skills in English language Scientific conference participation Publication record PhD Student Position 3 Required qualifications: BSc in
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average annual budget of €7 million. It is organized into 10 research and support teams, with the scientific objective of studying the physical and chemical properties of the Earth, and a particular focus