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Field
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. This project contributes to Infectious Disease Pathology Brach (IDPB)’s molecular pathology program by applying molecular and sequencing-based methods to detect a broad range of pathogens in fixed tissues. Under
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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to the implementation of established causal inference approaches to support public health and clinical decision making. The focus will be on agentic AI for target trial specification and emulation. Basic Qualifications
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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-time/Part-time) (several posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning
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novel and uncharacterized pathogens, confirming and characterizing novel agents, evaluating candidate biocontrol compounds, and assessing pathogen impacts on colony health indicators. Learning Objectives
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g
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evaluate new reagents, technologies, and laboratory workflows for comprehensive viral detection. Developing and evaluating molecular approaches including PCR-based sequencing, targeted NGS, pan-viral
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databases. Our team studies a range of interventions, from psychotropic agents to vaccines, in relation to multiple outcomes, from pregnancy losses to neurodevelopmental disorders in the infant. We apply
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and