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multidisciplinary team of experienced researchers, closely collaborating with another PhD candidate who will focus on the data science, models and machine-learning aspects of the project. PhD researcher position in
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of machine learning/deep learning for signal processing and receiver design is desirable. Experience with SDR platforms, particularly Ettus USRP devices, and GNU Radio/UHD development is an advantage. Strong
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processing, estimation theory, detection and classification, waveform-based geolocation, and machine learning/deep learning, with demonstrated research experience in passive localization and tracking using
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-year appointment beginning in the 2027-2028 academic year. The successful candidate will teach graduate health science courses in the Master of Science in Health Sciences (MSHS) program, including
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computer skills to meet the needs of our online didactic instructional format. Team-oriented and willing to collaborate and share instructional methods and student-learning activities. Appreciation
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, as are experience and promise as an excellent teacher. The PhD must be completed no later than July 1, 2027. Successful candidates must be able to teach courses and pursue a research agenda in 19th
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energy materials, aligned with CHIPS-Act priorities. Anchored in Boston, the theme builds on cross-college collaboration among COE (College of Engineering), Khoury College of Computer Sciences, Mills
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one of the following areas: wireless localization, wireless sensing, AI/machine learning for communications, or signal processing. Ability to conduct experimental research independently and
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and student guidance. Assist in the preparation and writing of research grant proposals. Job Requirements: PhD degree in computer engineering, Computer Science, Electronics Engineering or equivalent
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This position offers the opportunity for a recent PhD in art history or a related field of visual study to enter the field of academic museum education. At the Herbert F. Johnson Museum of Art, we