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, and openly release evaluation code. What is Required: A recent Ph.D. (within the last 1-2 years) in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related
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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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with deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different
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industry. Knowledge of floor care. Some computer skills such as Microsoft Office Suite or the ability to learn appropriate software. Required License/Registration/Certifications Possession of a valid Texas
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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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, bioimage analysis or a related discipline, or equivalent experience.* Strong experience applying machine learning, deep learning and computer vision to imaging data.* Experience developing analysis pipelines
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where Duke graduate and undergraduate students learn to tackle ethical and policy challenges through curriculum and experiential learning with government agencies, non-profit organizations, or companies
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. PREFERRED QUALIFICATIONS Master’s degree or higher is preferred Proficient knowledge of AI concepts, including machine learning, deep learning, and agentic AI, and how models are developed, trained, and
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statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi-omics data from pediatric cohorts spanning diverse socio-economic and geographical