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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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realize fully capable mobile agents and collaborative autonomous agents. RISC is an integral member of the Center for AI and Robotics (CAIR). CAIR has significant work in localization for autonomous agents
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, cytocompatibility testing and evaluation of cellular response to therapeutic agents, as well as assisting with technical documentation and preparation of scientific publications, in the scope of the Élpis project
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Motion Planning in harsh and dynamic GPS-denied environments - Autonomous inspection planning with persistent semantic scene abstraction for advanced reasoning and task planning - Multi-agent collaborative
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cutting-edge imaging technologies such as volumetric EM and cryo-ET to study macromolecular complexes within Magnaporthe oryzae , the causal agent of the destructive blast disease decimating rice and wheat
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, inference). Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance
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-agent interactions in urban environments. Conduct research on how to comprehensively establish safety and risk assessment for autonomous vehicle systems by identifying potential failure modes, analyzing
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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modern computing environments, including Python, Linux, and agentic workflows Strong analytical and writing skills as demonstrated by a record of publication in peer-reviewed journals. Experience working