128 power-electronics-"https:"-"https:"-"https:"-"https:" positions at Berklee College of Music
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Job Description: Berklee College of Music in Boston, Massachusetts, is actively seeking applicants for a full time faculty position within its esteemed Electronic Production and Design department
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electronic music community Expertise in music direction and conducting, with a strong ability to lead ensembles In-depth understanding of a variety of musical genres, including current electronic music sub
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prospective students and applicants across all physical campuses (Berklee College of Music, Boston Conservatory, and Berklee NYC). Delivering world-class support via phone, email, and virtual channels
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for Admissions communications via email and phone calls. The Admissions Services Representative will typically answer a high-volume number of calls and emails throughout the day. These calls and emails range from
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the ability to manage multiple priorities in a fast-paced environment. The successful candidate will anticipate routine needs, keep assignments and selected projects organized, flag issues that require
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capacity preferred ● Excellent written and oral communication skills KNOWLEDGE REQUIRED: ● Advanced experience in scenic construction and rigging ● Advanced ability to read and produce
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Job Description: The Electronic Production and Design Department at Berklee College of Music seeks a part-time faculty member to teach courses in SuperCollider, computational sound, and algorithmic
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, recording equipment, audio interfaces), network audio systems, computer systems, music technology software, audio and video components, sound and projection systems, screens and displays/monitors, video and
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Language in accredited higher education institution Demonstrated ability to teach effectively Italian language and content courses, embrace new pedagogies, and inspire students Excellent written and oral
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Job Description: The Electronic Production and Design Department at Berklee College of Music seeks a part-time faculty member to teach Live Coding and Algorithmic Performance. This course explores