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, enabling recommendations that evolve with an individual’s goals, constraints, and market conditions over time. 2. LLM-Agent Simulation for Organizational Modeling Design multi-agent simulation environments
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. An understanding of metabolite identification and quantification by LC-MS/MS, spectroscopic techniques is desirable. Experience or collaborative engagements involving machine learning / modelling is also viewed
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: Foundation Models & Next-Generation Methods As the field increasingly pivots toward foundation models, efficiency has become a central challenge. Addressing this challenge requires approaches that go beyond
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, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen
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by professors from MIT and Singapore. This position will entail the following technical responsibilities: 1. Develop wave-based multiscale modelling frameworks to characterize acoustic metamaterials
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homes, offices, industrial sites and shopping malls) and alignment of such spatial context with procedural models of task execution. There will be a special focus on optimizing the computational load
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models (e.g., LLMs, multimodal systems) that support learning, assessment, and teaching practice. Empirical Education Research – Conduct controlled experimental studies (e.g. mixed-methods), including
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a Postdoctoral Associate position. This position will entail the following technical responsibilities: Lead and support PDK development, including device compact models, layout components, validation
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metamaterials, to serve as biocompatible skin adhesive couplant for wearable ultrasound transducers. Develop and validate multiphysics models to predict the mechanical and acoustic behaviour of the soft materials