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family responsibilities, or disability. Key Responsibilities: Develop machine learning approaches to predict intercalation and fracture in epithelial cell tissue Generation of synthetic data via an in
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management (ATM) system. Key Responsibilities: Conduct research in artificial intelligence methods and deep learning models. Collect and analyze air traffic data related to the project. Develop optimization
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the following topics: Deep learning, Localization and mapping, and autonomous navigation. Key Responsibilities: Investigate and propose real-time semantic segmentation algorithms Develop a moving objects/humans
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evaluating advanced machine learning algorithms Relevant knowledge and a strong background machine learning and deep learning. Experience in text processing and speech technologies, especially in depression
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Mathematics 2. Coding Skills: Familiar with any of the major deep learning libraries, including Pytorch, TensorFlow, MatConNet Familiar with image processing and optimization toolboxes in Matlab We regret
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Radar or Array processing Strong algorithm development and programming skills on MATLAB or Phyton Knowledge on machine learning or deep learning Familiarity with Ettus USRP devices, GNU Radio/Labview
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Professional Learning . Project Title: Developing a preliminary learning progression model in historical understanding through an investigation of the ways knowledge about the past is understood by lower
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, or associated programs. • Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, healthcare. • Expert knowledge of Python, C++, Pytorch, Tensorflow
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signal representation for machine uses, to meet the emerging requirements for AI. To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses
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record in signal detection, machine learning and deep learning. Prior programming experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, Matlab