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considered an advantage. Applicants will need expertise and desire to teach in various areas of Electrical and Computer Engineering. Current teaching opportunities specifically exist in programming, software
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-division undergraduate, and graduate), and training the next generation of researchers working in AI, natural language processing and machine learning, and computational methods for language. Qualifications
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PhD. D in in Electrical or Computer Engineering and ten or more years of experience in digital or system architecture for SoC/FPGA/ASIC designs, with strong exposure to AI, networking, or HPC
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Qualifications MS or PhD in Computer Science, Machine Learning, or a related discipline. Prior technical leadership experience. Experience leading an engineering team or serving as a tech lead for complex AI/ML
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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regulations.) Relevant education and experience may be substituted as appropriate. Preferred Qualifications Advanced Degree: MS or PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering
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) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee
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) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee