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. Familiarity with design principles and planning tools that are used in creating learning environments. Familiarity with digital biomarkers, data analytics, and machine learning techniques. Proficiency in
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creating learning environments. Familiarity with data analytics and machine learning techniques is not necessary but will be advantageous Excellent communication skills, with the ability to collaborate
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages
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. Key Responsibilities: Develop deep learning models and algorithms for biomedical and healthcare applications. Job Requirements: Bachelor's degree in Computer Science, Machine Learning, Chemical
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, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning Minimum 1 year of relevant research experience in data visualization, human computer interaction
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Distributed Computing Lab, linked to the DANTE group. Our focus: system research in Machine Learning and Database interactions. This six-month position, with potential renewal, involves developing a scalable
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and machine learning algorithms and methods. Key Responsibilities: Develop signal processing and machine learning algorithms and methods. Perform software/hardware implementation and empirical studies
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: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning
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Telegram. The incumbent will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected
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family responsibilities, or disability. Key Responsibilities: Perform machine learning techniques to find patterns in data. Develop numerical framework to simulate and corroborate experimental data