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Field
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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. Willingness to support project reporting and milestone reviews. Hard skills Strong programming skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with reinforcement learning
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stakeholders, end users, industry partners, and multidisciplinary research teams to support system integration and project delivery. Preferred Skills Python, C++, ROS/ROS2. Computer Vision (OpenCV, Deep Learning
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Science, or related field Knowledge and experience in computer vision, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics
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of deep learning, specifically, foundation models, diffusion models is a must. 1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models. 2)For video
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, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been received within the last
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Daphné Lemasquerier conducting research for a UKRI Future Leaders Fellowship (FLF) funded project entitled “Fluid Dynamics of Deep Interiors in the Outer Solar System”. The primary duties will be
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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in close partnership with experimental colleagues across knitted sensor arrays and piezoelectric/triboelectric energy harvesting, developing deep technical understanding of both systems and building