12 phd in power electronics uni jobs at University of Southern California in United States
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enrolling in on-campus master’s or PhD programs. Overseeing the marketing budget, resource allocation, and production of marketing materials, ensuring brand consistency and message effectiveness. Spearheading
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substitute for minimum education Minimum Experience: 2 years Minimum Field of Expertise: Working knowledge of laboratory equipment and research protocols. Knowledge of computer analysis techniques and ability
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through the lens of race, ability, gender, sex, class, ethnicity, and culture. XA Animation is seeking applicants for an open-rank adjunct faculty position to teach a 2-unit course, Cinematic Animation
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Required qualifications for all positions include a doctoral degree in nursing (PhD/DNP), health, human services, education, management, or other a related discipline; MSN currently in doctoral study will
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Qualifications: Education · PhD in a Physical Sciences field Experience · 1 year of experience in a corporate or university technology transfer and business development setting · Ability to gather information and
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characterization methods such as photo-electron spectroscopy, diffraction, scattering and fluorescence spectroscopy, and associated sample preparation equipment. A senior scientist appointment may be considered in
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contribute to and lead proposals efforts. Position specific JOB QUALIFICATIONS: PhD or MS and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required. Previous
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Qualifications: PhD or MS and equivalent experience in Computer Science, Computer Engineering, or a related field Experience with LLVM compiler internals Experience with embedded systems software development
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ingenuity, creativity and innovativeness. The position requires excellent analytical skills, demonstrated ability to develop and execute creative approaches to analytical problems, strong written and oral
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necessary to teach undergraduate-level courses in one (or more) of the following specific areas: Applied Artificial Intelligence (machine learning; computer vision; natural language processing) Applied