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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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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 2 months ago
-edge technologies, such as Large Language Models (LLMs) and AI agents, with domain expertise in materials science. We expect candidates not only to utilize existing AI tools but to design and develop
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planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis. A central goal of this recruitment is to
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, microscopy, and molecular analysis. Some experiments may require careful timing, serial sample collection, or occasional scheduling flexibility. 40% — Human cell culture, co-culture systems, and 3D skin model
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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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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
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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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; André Venturoti Perrotta; Paula Alexandra Gomes da Silva. IV - Work Plan / Goals to be achieved: The scholarship will support the building of a functional prototype where an intelligent AI agent is
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industrial datasets. Evaluate and deploy modern AI technologies, including LLM-based assistants, agentic workflows and automation pipelines where appropriate. Particularly for data-readiness, make use