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using nano-vibration detection and super-resolution imaging. Funded by the Royal Society APEX Award (with support from the Royal Society, British Academy, Royal Academy of Engineering, and Leverhulme
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry partners such as IEE S.A (www.iee.lu ), University of Naples Federico II, US Air Force
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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. Although advances in imaging technologies have enhanced the spatio-temporal resolution of plankton sampling, these data remain virtually unused in biodiversity assessments and policy frameworks
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effective conservation policies. Although advances in imaging technologies have enhanced the spatio-temporal resolution of plankton sampling, these data remain virtually unused in biodiversity assessments and
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital