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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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candidates may include: 1.Energy modelers with expertise in integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics
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the model plant pathogens Botrytis cinerea and Phytophthora infestans we will investigate their immune reactions and evolutionary responses to experimental selection by biocontrol agents including
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individual synovial membrane and osteochondral unit-on-chip models as well as a their combination in the joint-on-chip to test established and new disease modifying agents to validate their use in drug
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
address scientific problems in pharmacology and medicine. Build and adapt AI-assisted tools (e.g., LLM-based agents) to support mechanistic model development and biomedical knowledge integration. Implement
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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in project meetings on site with our European partner organisations. Your qualities You hold a PhD in environmental sciences, ecology, geography, spatial planning, or a related discipline. You have
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cancer to the treatment with small molecule chemotherapeutic agents. For this position it is: Required: - Hold a PhD degree in biological or biomedical sciences obtained between January 2024 and December
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: Title of Post: Post Doctoral Researcher (Level 1) AI-Minds Project: Trustworthy AI Large Language Educational Models JOB SYNOPSIS Post Doctoral Researcher to develop agentic LLMs tailored to immersive
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impairment capturable with digital interfaces. Experience with agentic large language models. Experience in artificial intelligence to develop the algorithms for digital twins. Experience with both qualitative