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of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data • Generative AI & LLMs: Hands-on experience developing LLM
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in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop new technologies, and drive
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, the project seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic
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-driven Design Automation for Advanced Packaging to develop and integrate artificial intelligence methodologies into advanced packaging electrical design. The role will focus on leveraging machine learning
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) postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career. The purpose of a
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well as partnering with programmers to create canned reports and dashboards for the campus’ financial leaders. The incumbent will be expected to collect, analyze, and develop data relative to the BFP&A Office and the
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Job ID 82808 Location Sacramento Full/Part Time Full Time Add to My Favorite Jobs Email this Job Job Summary This position requires technical acumen for planning, designing, developing, implementing and
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these challenges, calling for the development of responsible AI systems that are transparent, trustworthy, and aligned with human values in educational contexts. This PhD project aims to design, develop, and
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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of Device Bioengineering, including but not limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields