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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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and implements dynamic models, including machine learning algorithms, to optimize student-centered outcomes. Creates clear and actionable visualizations and dashboards using tools such as Power BI
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Leader, Senior Research Scientists and Engineers, this Research Scientist will: Conduct innovative research in quantum software platforms, focusing on quantum compilers, algorithms, and hardware-agnostic
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Faculty.Professor.Assistant - Full-Time SCI-Office of the Dean - Pennsylvania-Pittsburgh - (24008558) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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, and the ability to thrive in a highly cross-functional environment. They will primarily be responsible for the development of algorithms and pipelines to analyze vast amounts of electronic health
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: 117895-en_US We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant