30 computer-algorithm-"https:"-"Simons-Foundation" positions at Northeastern University
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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fixed-term position, eligible for renewal based on grant funding. Northeastern University's Institute for Experiential AI has established a position for a ML Performance Engineer, Computational Biology
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Cyber-Physical Program. See website for details of the program: https://coe.northeastern.edu/academics-experiential-learning/academic- departments/mgen/ms-cyps The Master of Science, MS, Cyber-Physical
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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 collaborate with academic and industry partners
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, the ML Engineer hired for this position will 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
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, and data analysis for human subjects research. · Develop and apply computational models and algorithms to support robotic augmentation studies. · Contribute to manuscript preparation and dissemination
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complex business needs into scalable AI solutions. Experience in the consulting industry is preferred. 2. Education & Experience Ph.D. (strongly preferred) or Master’s degree in Computer
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signature co-op program, has expanded to include a vast array of real-world projects and experiences that attract top students at all stages of learning from around the world. Over the past decade