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actionable patient subgroups, and support personalized treatment strategies. Through these efforts, we aim to translate data-driven insights into clinically actionable tools that improve precision oncology and
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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food, food contact materials, and agricultural samples. Throughout the course of this research project, you will gain experience in developing machine learning tools for the identification and analysis
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Job Description The Department of Electrical and Computer Engineering (ECE), College of Design and Engineering, is seeking a Research Fellow to lead the process development and device fabrication
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
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, cells, and circuits. Analyze Diverse Data: Work with clinical, omics, and imaging data. Advance Therapeutic Discovery: Apply AI to identify new treatments. Develop Computational Tools: Build AI-powered
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-logging development, software integration, and research reporting. For the post of Postdoctoral Fellow, the appointee will also be required to lead the biorefinery experiments, AI tool development, data
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, including ACGME and ABIM. Monitor compliance with accreditation requirements (ACGME, KU GME, ABA, and other governing bodies) to maintain program accreditation. Develop and maintain evaluation tools