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on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners
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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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positions for teaching graduate courses in the Cyber-Physical Program in Toronto, ON. Students in this program learn about the set of technologies, systems, and design principles associated with the emerging
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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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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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to the bioinformatics field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek
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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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, 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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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Oct-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences