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Field
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of misperceptions, misconceptions, and an important discrepancy between economists’ beliefs and the reality. Last, the third angle will offer newly improved open science tools. Our methodological approach will
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and relevant ML frameworks (e.g., PyTorch, HuggingFace Transformers, LangChain). Experience with model fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and with agentic AI and AI
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of machine learning and science. Areas of particular interest include: foundation model training, evaluation, scaling, and adaptation agentic workflows, tool-augmented models, and AI systems bespoke scientific
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models, large language models, vision-language models, biomedical AI models, or model fine-tuning methods such as LoRA, adapters, instruction tuning, or retrieval-augmented generation. Experience with
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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners
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, and survey experiments. The third studies strategic interactions in corruption markets using experimental designs embedded into virtual reality scenarios that simulate procurement and regulatory
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and inference for distributed AI agents, and how the realities of networked operation shape the design of adaptive, resilient intelligence. Finally, the research will address how groups of embodied
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closer to reality. Over the course of our history, we have shed light on some of the toughest health care problems known to man - diabetes, heart disease, infectious diseases, neuroscience disorders
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of Biostatistics and Health Data Science at Lehigh University. He has led projects associated with the mathematical modeling of infectious diseases that focus on augmenting surveillance with social data, such as