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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
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settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research at Swansea University (Richard Johnston), building on decades
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sensors and readout electronics, SPECT, PET, and X-ray imaging instrumentations, image and signal processing techniques, pre-clinical and clinical applications. Develop new research areas to include
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, the fertilization process. Our research focuses on the physiology and pharmacology of ion channels, employing cutting-edge techniques such as electrophysiology, advanced fluorometric imaging (Ca²⁺, pH, membrane
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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positively or negatively to the quality of information in the policy process, and, ultimately, the quality of legislation. The chosen candidate will write their PhD thesis within this overall topic
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developmental biophysics, imaging, image analysis, and modelling of biological processes. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt