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into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through
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) and multimodal data integration models. • Conduct rigorous data processing, model training, validation, and explainable AI analysis. • Contribute to the development of harmonisation and bias-assessment
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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the biomechanics of current treatments for craniosynostosis. The role will use advanced approaches including computer simulation, manufacturing, imaging, sensing, and in vivo experimentation. Applicants should hold
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to assist with human physiology (e.g., imaging and exercise testing) aspects of the project from time-to-time. You will join an established team, led by Prof Bethan Phillips, whose main areas
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imaging Hormone signalling pathways Experience working with rice or Arabidopsis is advantageous A track record of publishing in peer-reviewed journals Further Details Hours: Full time (36.25 hours per week
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learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition. Advance AI-assisted image interpretation, including atomic structure recognition, defect
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medicine research team and key academics and investigators across the rheumatology and cardio-rheumatology field and imaging groups to support novel and ambitious research studies. The post requires working
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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related to developing and applying contrast-enhanced ultrasound approaches, and image processing to study remodeling of the islet microvasculature and islet blood flow regulation in type1 diabetes and to