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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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, supporting discovery in areas such as genomics, artificial intelligence and data science, biomedical engineering, and health outcomes while providing robust mentorship and training opportunities for fellows
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, supporting discovery in areas such as genomics, artificial intelligence and data science, biomedical engineering, and health outcomes while providing robust mentorship and training opportunities for fellows
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marketing strategy, supply chain and logistics, digital distribution, and operations research. Leveraging the latest technologies, such as artificial intelligence, machine learning, and large language models
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years of relevant professional experience, not including the years spent obtaining the terminal degree. Additional background in areas such as artificial intelligence applications in geotechnics
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of Artificial intelligence for De-Novo molecular design Machine learning/Neuronal networks to develop novel drug discovery tools Molecular modeling and simulation Theoretical biophysical medicinal chemistry Deep
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emphasis on severe childhood asthma, integrating clinical, biological, and imaging data through quantitative analysis and artificial intelligence. Research activities include medical image processing
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Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
candidates who will bring excellence to campus via outstanding research, teaching, and service. Candidates should conduct cutting-edge research at the intersection of artificial intelligence, business
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. At the end of that funding, this position will remain, but time allocations between the two roles may shift. DSAI is a pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its
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/10.1007/s11142-024-09822-y . He, L.- Y., Wang, L. (2025). Can artificial intelligence curb greenwashing? Firm-level evidence based on large language model. Energy Economics, 152, 108954. https://doi.org