656 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Northeastern University
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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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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
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are encouraged to apply. Successful candidates will be appointed primarily in one of the departments within the Bouvé College of Health Sciences depending on interest and expertise. Faculty members may teach in
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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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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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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach European, World, or American
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and written communication skills with a customer (internal and external) service focus Strong computer and IT skills, especially in MS Office suite products, and ability to learn new programs/systems
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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