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Field
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performance checks. Monitor scans and troubleshoot basic operational issues during imaging. Reconstruct CT scan datasets using appropriate reconstruction software. Perform image processing, segmentation, and
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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Chemistry and Biology within the School of Biomedical Engineering & Imaging Sciences at King’s College London (KCL), with major additional contributions from colleagues at Queen Mary University of London and
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into prototype systems with practical application potential. Contribute to fabrication process optimization, device prototyping, data interpretation and technical documentation for project milestones and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 8 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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7 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer
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data Conclude the study in journal publications and patent filing Job Requirements PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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implementation of elastomer adhesives Optimization of formulation for 3D printing and 2D printing Contribute to ongoing ionic liquid formation projects Design and prototype and scalable processing Collaborate with
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advertisement The position A PhD position is available at the Department of Automation and Process Engineering (IAP), Faculty of Engineering Science and Technology in advanced microscopy methods for bioimaging