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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts
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-doctoral candidates willing to write research proposals on the functional morphology of organisms via dynamic X-ray imaging. Position X-ray imaging is a powerful method for analysing functional morphology
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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100% postdoctoral position within the Department of Radiology. The primary focus of this research position is to assist in innovative MR image reconstruction and pulse sequence methods. The successful