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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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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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well as provide advanced AI support, for example assistance with locally run generative AI models for students and faculty or use of custom AI agents within instruction. This position works with a wide range of
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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counterpart, for example AI agents and automated decision-support systems, seen from a systems perspective. The subject area includes, among other things: Scenario-based and simulation-based testing
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of bacteria to produce active substances. All factors which affect bacteria-based factories cause millions of dollars in losses. Here, we propose the strategy to obtain antiphagents (antibacteriophage agents
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LLMs, multimodal data fusion, or agent-based AI systems. Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks. Demonstrated ability to conduct independent research and
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integrates Agent-Based Models, hydrological and flood models. GEB can simulate the dynamics between multiple hazard risk, how these risk impact society, vulnerability of different sectors, and how society can
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset