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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
effect outcomes in oncology drugs, including drug physicochemical properties, acid-reducing agent interactions, formulation characteristics, etc. Participate in collaborative discussions with clinical
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research on machine cognition, focusing on how language model agents and related artificial neural network systems represent beliefs and goals. The project will investigate whether such systems represent
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of tackling multidrug resistance under a project on Multifunctional peptide nanonets as novel antimicrobial agents. The main responsibilities of the position include: • Develop and perform microbiological
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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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approaches used to support reliable pathogen detection. This project aligns with IDPB’s public health mission to develop, improve, evaluate, and apply laboratory technology to detect microbial agents
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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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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
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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