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. Experience in machine learning and deep learning method. Excellent background in algorithms and database systems Excellent background and research experience in data mining algorithms, data management, machine
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, data mining, artificial intelligence or databases; Proven ability to conduct independent research with a strong and relevant publication record; Prior experience in federated learning, Bayesian
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simulated provenance data Perform literature review and background study on graph analytics for intrusion detection Apply Data Mining & Machine Learning techniques for graph-based intrusion detection
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, machine learning, data mining, artificial intelligence or databases; Proven ability to conduct independent research with a strong and relevant publication record; Prior experience in knowledge graphs
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development tools and methodologies. Familiarity with machine learning, data mining, or artificial intelligence techniques is desirable. Excellent analytical and problem-solving skills, with the ability
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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Job Description Data exploration: The team’s objective is to mine the project’s data to seek insights that are either 1) directly beneficial to the study of offending, rehabilitation, and
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presentations for exhibiting work at appropriate events. Requirements A PhD in Computer Science or equivalent, with specialization related to data mining, machine learning, artificial intelligence or databases
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, climate change and law of the sea, biodiversity beyond national jurisdiction, maritime disputes, technology and the law of the sea, deep seabed mining, fisheries and submarine cables. CIL researchers go on
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; Perform literature review and background study on graph analytics for brain network analysis; Design novel and effective Data Mining & Machine Learning techniques (e.g., GNN-based models) for brain network