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Field
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Postdoctoral Researcher to advance scientific data reduction and compression workflows for tomography and imaging applications in collaboration with European research infrastructures. The Position The rapid
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theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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be to: conduct advanced research into supersonic combustion and compressible reacting flows, particularly investigating how compressibility suppresses fuel-air mixing contribute to research seeking
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biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed term for 24 months. About you You will be working in a small highly motivated inter
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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pathways. As part of the application, applicants are asked to submit a short video sharing personal motivation for their work, what draws the applicant to the research problem or question, and why
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computing, dynamical systems, and applied mathematics to develop new mathematical frameworks for representing, compressing, and computing with complex physical systems. The project is carried out in close
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate