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) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and
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scholarly output. • Lead the design, architecture, and deployment of advanced AI systems, including machine learning, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming
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research into practical, scalable solutions for modern dairy farms. We develop machine learning models, decision-support tools, and digital platforms that improve production efficiency, herd health
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. To learn more, visit our website: http://www.dialogue.cornell.edu/ . The Opportunity Reporting to the Associate Vice Provost for Undergraduate Education & CDP Director, this role involves leading and
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experience with machine learning and AI cloud-based systems. Authentication and role-based access control systems. CI/CD pipelines and deployment workflows. System monitoring and logging in production
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characteristics. Nominate and help evaluate promoter regions and candidate genes to enhance nitrogen use efficiency. Apply machine learning models to classify molecular variants as functional and assess
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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regulatory or Security agencies. Experience modeling values that support inclusion, belonging, and wellbeing. You will be a top candidate with our preferred qualifications: A.A.S. in Fire Protection and/or
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experience. Capability to learn software (e.g. spreadsheets, word processing), as well as computer-based inventory management system and other server-based systems. Familiarity with computer-controlled
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highly collaborative research team to accelerate and extend ongoing research efforts (including DL-based joint species distribution modeling and causal machine learning) and lead methods development