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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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. Minimum Qualifications Good writing and communication skills. Interest in helping others learn. Responsible and dependable. Strong GPA. Knowledge of the concepts related to critical thinking. Successfully
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over 10,000 students, FSC is the State University of New York's largest college
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Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: - Available hours are distributed to all eligible SPs when an event is being planned. SPs reply if interested in
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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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on Duke Academy, our mastery‑based learning platform that blends AI‑powered tutoring, knowledge‑graph‑driven pathways, and interactive browser‑based coding. Every day, you’ll contribute to a product that is
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. Experience in artificial intelligence or machine learning approaches applied to materials research will be considered a plus. We regret to inform that only shortlisted candidates will be notified. Hiring
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. Knowledge of research impact tools and practices. Experience leading a team or committee. Desired qualifications: At least one year of providing research impact services in an academic library. Working
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to machine learning, data analysis, and software development; Assisting in the design of experiments, algorithm coding, and analysis of large datasets; Developing and maintaining websites and web applications
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning