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are used to enable systematic comparisons between alternative strategies in simulated environments. The project also studies simulation agents operating within these models, including both policy-based
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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posts) [Appointment period: each for three to six months] Duties The appointees will assist the project leader in the research project – “Urban smart digital services via LLM-based multi-agent
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will focus on exploring generative AI and building agent system to support the design process. You will work with Professor Sasu Tarkoma and Dr. Xiaoli Liu. Requirements A master's degree in computer
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Full time, fixed term opportunity for 18 months This position is available immediately with reasonable flexibility on the start date Base Salary Level A, Step 5-8 $109,263 - $121,054 p.a + 17
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multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with
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work with microbes, in vitro cell cultures, and human biofluids such as serum. We have a strong focus on mass spectrometry-based proteomics, which we routinely integrate with genomics data and phenotypic
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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for the analyses will be the intervention plans of multi-stakeholder platforms (Ethiopia) and expected behaviors of agripreneurs and farmers (Kenya) using agent-based models; Assess the potential for co-developed
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of the effects of insect or disease disturbances on forests across the U.S. based on forest inventory data and use a forest simulation model to project the future effects of those agents on forests