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Field
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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(CATION) Within the PIIO, the Center for AI in Immuno-Oncology (CATION)—directed by Dr. Qin Ma Ma—is redefining how artificial intelligence transforms cancer research and treatment. CATION develops
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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field. Certification and Licensing: Not applicable. Experience: Extensive experience in robotics system design, real-time control, and embedded systems integration. Demonstrated expertise in artificial
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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Experience Doctoral degree in Cognitive Science/Psychology, public health, computer science/artificial intelligence (AI), informatics, or a related field required. Qualified candidates must be in the process
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learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects
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library design, DNA probe design, DNA based cell staining, multiplexed protein/DNA bioassays, various DNA technologies, PCR, RNA sequencing, microarray-based biosensor, omics data processing, artificial
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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on