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the Cardiff University Brain Research Imaging Centre and School of Computer Science and Informatics. They will contribute to the research excellence through high-quality publications and active engagement with
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, the method development will include machine learning based image recognition/processing techniques to enable computational microscopy and experimental matching. For position 3, the method development will
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understanding and experience in the characterisation of image sensors or equivalent and proficiency with data collection and data processing. Good understanding of and demonstrable experience in writing bespoke
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate
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readouts (spatial transcriptomics and mutational panel data) from lung cancer tissue, liquid biopsy samples, clinical, and multi-modal medical imaging data. The candidate should have a PhD in computer
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models
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. A large part of the role is to process chicken brain tissue for immunohistochemistry and to work with bio-imaging experts on automating the quantification of doublecortin-positive cells in
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solution to meet the requirements of a future power plant. The work package is tasked to deliver a practical demonstration of key component technology for development of a prototype laser driver, with the