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(Terraform or CloudFormation) 2 years of the six years to include experience with data engineering practices incorporating AI capabilities, including: Proven success leveraging generative AI, agent-based
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opportunities to strengthen the program’s business model, revenue, expand partnerships, and improve operational efficiency while maintaining service to public plant breeding programs. Recruit, supervise, develop
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laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
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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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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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need of academic support and serving as a validating agent. This position reports to the Director of the Academic Navigator program with a dotted line report to the colleges of UNL. Responsibilities will
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The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families
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prioritize automation initiatives based on ROI, feasibility, and alignment with educational goals. Collaborate with stakeholders to map existing workflows and reimagine them with agentic capabilities. Measure
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on development of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team
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of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team at local