728 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Northeastern University
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About the Opportunity About the Opportunity: Part-Time Lecturer will teach one to six courses in mathematics contingent upon enrollment, funding, and departmental need. Responsibilities: Participate
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About the Opportunity Northeastern University’s College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Applied Machine
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opportunity to teach in the area of pharmaceutical industry, and translate their experience for students into the classroom. Additionally the position will work within the pharmaceutical industry fellowship
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About the Opportunity Part-time Instructor positions available as determined by department’s curricular and institutional needs to teach in undergraduate and graduate courses in the department
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university service. The successful candidate will teach undergraduate and Masters level courses in Applied Mathematics and Statistics, from introductory to advanced levels. They will have a strong commitment
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specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional
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undergraduate program on the Northeastern University Oakland campus. Applicants qualified to teach economics classes in any field are encouraged to apply to be considered for openings that arise. Adjunct Faculty
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach undergraduate courses for the CSSH minor in Law & Public Policy, such as, but not
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experience focused on safety and security, meaningful connections and a sense of belonging, high student satisfaction, assessment of learning experiences, and innovation. The Director is responsible
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. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying