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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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sensor fusion frameworks using cameras, LiDAR, depth sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation
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sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation, localisation, path planning, and collision avoidance algorithms
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Computer Science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C
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of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
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experimental data, visualize trends, interpret results, and draw meaningful conclusions. Algorithm Implementation: Employ convolutional neural networks to enhance image processing capabilities and develop
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Research Assistant to design and execute independent and
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive