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and Research Ireland. Urban Sense is modelling and measuring greenhouse gas (GHG) emissions across Dublin. The focus of this position is developing an agent-based model (ABM) to capture the statistical
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, or mental health provision are expected to be higher or lower. The agent based modelling will form an innovation where we attempt to create business models and descriptions of best practices for social
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, and agentic safety. The second is on using AI in the field of genomics to aid drug discovery. The third is explainable AI for the law. We plan to use agent based methods to help the latter two. In
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to develop therapeutic agents against mutant p53 and other oncoproteins using artificial intelligence, monoclonal antibodies, and DNA vaccines. Offers a unique team-based science environment with opportunities
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well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell culture, kidney organoid, and mouse models. Successful
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well as high-throughput screening strategies to identify small molecular compounds that might serve as novel therapeutic agents in disease using cell culture, kidney organoid, and mouse models. Successful
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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particularly the CAND multiscale drug discovery platform developed by the Division of Bioinformatics at the University at Buffalo: Integrating the CANDO drug discovery platform with LLM-based reasoning models
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independently to develop therapeutic agents against mutant p53 and other oncoproteins using artificial intelligence, monoclonal antibodies, and DNA vaccines. The positions offer a unique team-based science
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic