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Field
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integrated circuits and systems design. We are now looking for a new employee in the form of a postdoctoral fellow in Electrical Engineering focusing on Circuit Design for signal conditioning in harsh
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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal processing with knowledge of quantum
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the English language, both orally and in writing. Experience on AI techniques applied to electrical engineering applications is an advantage. Also experience with radiofrequency signal generation, measurements, and
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publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
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experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data
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unique opportunity to contribute to a pioneering platform that could transform process-scale chemistry in the pharmaceutical and agrochemical industry, combining hands-on engineering with cutting-edge
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, signal processing, machine learning, EEG analysis, computational neuroscience, regression modelling, uncertainty quantification, metrology, or measurement science. LanguagesENGLISHLevelGood Additional
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point); The candidate's participation in activities of scientific, technological, and management innovation, or on the observation and monitoring of science and technology or system of higher education
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, Biomedical Engineering, Medical Physics, Computer Science, or a related field. • Strong background in medical image processing, signal analysis, or computational modeling. • Experience with these imaging