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Field
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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agents based on reinforcement learning with open-source LLMs or VLMs. Required skills include extensive experience with LLM post-training, including Supervised Fine-Tuning (SFT), Low-Rank Adaptation (LoRA
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design, and agent-based modeling to address problems in psychological domains, with a particular focus on applications in anxiety disorders and meta-scientific/methodological questions in psychological
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across Virginia, ecological experiments in our research orchard at Virginia Tech, and survey-based socio-economic research to understand how fruit quality is shaped by the orchard agroecosystem and
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on developing innovative and sustainable strategies for converting seaweeds biomass into valuable bio-based products and understanding the biological properties of seaweeds, with an emphasis on their potential
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-emotional learning (SEL) skills and restorative practices; developing critical and creative thinking skills through integrative STEAM curriculum and inquiry based and experiential learning opportunities; and
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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therapeutic agents in Hematological Research. Key Responsibilities: This position is expected to work independently under the guidance of the principal investigator. Projects will involve work with research