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Strategic Systems Operation (SSO) Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. This role will focus on research, design, development, integration
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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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algorithms to support semantic search and generate summaries of tax rulings. Collaborating in developing a semantic repository for tax rulings and court decisions. Preparing scientific publications based
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algorithms to support semantic search and generate summaries of tax rulings. Collaborating in developing a semantic repository for tax rulings and court decisions. Preparing scientific publications based
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algorithms to support semantic search and generate summaries of tax rulings. Collaborating in developing a semantic repository for tax rulings and court decisions. Preparing scientific publications based
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. Selected methods can then be evaluated through real-world human-robot interaction using humanoid and mobile robotic platforms. Aim/outline The aim of this project is to develop multimodal world models
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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
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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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where the research work leading to the PhD degree was developed; c) The total duration of the fellowship contract, including any possible renewals, must not exceed a cumulative period of three years under