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from all world regions. A key methodological innovation is the large-scale application of advanced Large Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted
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members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
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. With the rapid proliferation of AI systems, frontier LLMs, multimodal models, autonomous agents and their growing capability, there are equal risks of misalignment with human, organizational, and
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from large datasets through self-supervision and have proved to generalize across many applications. Successful examples of foundation models include now commercial large language models (LLMs), but
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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include now commercial large language models (LLMs), but their applications extend to time-series data, audio, and video. The potential of foundation AI models for power systems has already been recognized
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research experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related
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institute here: https://engineering.purdue.edu/Innovation Education and Experience Ph.D. in a relevant field (e.g., Innovation / Technology Management, Business / Technology Strategy, Innovation Studies
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical