636 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Northeastern University
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, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
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the College of Professional Studies. The successful candidate will teach specialized graduate-level courses potentially covering areas such as Corporate Finance, Investments, Financial Institutions, Risk
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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization
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https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color
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, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see https://belonging.northeastern.edu . Position
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computer skills, including the Microsoft Office suite of products and internet research. Key Responsibilities Prospect Identification Develop and oversee execution of ongoing screening schedule
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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences