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, applied robotics, machine learning, predictive analytics, large language models, and neural networks) that can be applied to one or more of the following areas: digital archaeology, remote sensing
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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biology techniques. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Hold, or be about to obtain, a PhD in
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/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in Information Systems (IS) and they will contribute
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure interactions. The minimum
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, image analysis, machine-learning based image quantification, tissue clearing, and electrophysiology Ongoing collaboration with clinical researchers from Otolaryngology department Experience in molecular