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, historical geography, or related disciplines, and theoretical fluency in environmental and/or medical humanities. You must have knowledge of an African language relevant to one or more of the project regions
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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Professor Kilian Huber (University of Chicago) to implement new AI methods for the study of firms’ cost of capital based on textual analysis. The project uses large language models and other AI tools
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force. Qualifications: PhD in Physics Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec
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: - Research the activity and mode of action of the pantetheinamide derivatives - Presentation of data - Collaboration within the group Qualifications: PhD in Chemistry Before applying, please note that to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
A PhD in clinical psychology is required. Applicants must have completed a postdoctoral fellowship. Rigorous postdoctoral training, demonstrated by quality, peer-reviewed publications and the ability
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standards Contribute to outreach activities and activities at the science-policy interface Your profile PhD degree in Ecology, Geography, Environmental Sciences, Environmental Physics or a related field
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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advanced techniques to create materials with tailored properties. Primary responsibilities include structural design and physicochemical characterization, as well as assisting in the supervision of PhD
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support and offer all students fair educational opportunities regardless of their background. Artificial intelligence, particularly in the form of large language models (LLMs), is widely regarded as a