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) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both in the hospital and at the home of post
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depth in some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
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for Effective Organizations, visit: https://ceo.usc.edu/ (opens in new window) Responsibilities and Duties A Research Scientist is both a scholar and consultant. They bridge the gap between academic theory and
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, process models, and system docs - from project inception through completion. Evaluate and leverage LLMs and generative AI tools to accelerate development, improve code quality, and identify emerging
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types
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here: https://itacademy.harvard.edu/ . Job Description Job-Specific Responsibilities: The AI Automation Quality Engineer leads the next generation of quality engineering for the my.harvard portal, moving
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ideas and product requirements into clean, well-tested, production-grade code Build intuitive, accessible interfaces for teachers and students Integrate and work with LLM-based services where they add
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things, intelligent assistants and company-specific search functions. However, we notice that companies still have many questions about reliability: modern LLMs still do not guarantee correctness and
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development, model hosting, deep learning, LLM fine-tuning experience (e.g., with huggingface transformers and parameter-efficient methods such as LoRA/QLoRA), model evaluation experience. (Please briefly
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workflows. Develop natural-language (LLM-enabled) interfaces for querying and exploring complex datasets. Support integration of scientific, archaeometric, imaging, and 3D data into unified workflows. Help