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learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY
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include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and results-focused
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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graduate students, etc. In particular, the MLE hired for this position will work with Ayan Paul and Hyunju Kim at EAI and is expected to develop AI algorithms for drug synergies with a combination of public
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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using modern architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient