694 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Northeastern University
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Humanities seeks an applicant to teach PPUA 6505: Public Budgeting and Financial Management at its Arlington, Virginia (National Capital/Washington, DC area) campus for Spring 2026. The instructor will teach
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for the following: Responsibilities: Teach group fitness classes – promote and assist with registration, report for scheduled classes on time and ready to teach a goal-specific and thorough class with preparation and
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learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90
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students to practice necessary skills and behaviors in labs and other simulated learning experiences. Standardized Patients must be on campus to assist during scheduled times. Standardized Patients
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: Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering. The Bioengineering (https://bioe.northeastern.edu/ ) Department
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Programming experience including Arduino, Raspberry Pi, and some circuit design and sensor selection Proficiency with the MS Office Suite (Word, Excel, Outlook, and PowerPoint) Ability to train, instruct, and
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& life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration
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rates per course. Teach undergraduate or graduate courses in Physics. Participates in departmental meetings, administers exams to students and holds appropriate office hours. Qualifications: Master’s
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics