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or PhD in Electrical Engineering, Computer Engineering or Computer Science Minimum 5 years using digital signal processing (DSP) techniques to denoise nad classify EEG signals for sleep research Published
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stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances
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sensing system for simultaneous time-domain measurements of voltages, currents, electric fields and magnetic fields, supported by digital signal processing. Using these synchronised measurements, you will
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assessed at each stage of the recruitment process. *******Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine
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of the requirements defined in point III of the Public Notice, the jury decides whether this insufficiency prevents the application from being considered, or whether, having no relevant impact on the evaluation process
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to the operation, development, and maintenance of laboratory infrastructure across the department. The position involves collaboration with researchers, students, and technical staff in a broad range of experimental
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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and spoken English. Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is advantageous. TU Delft (Delft University of Technology) Working at TU Delft means
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experience in speech, audio, acoustic signal processing or closely related time-series analysis. Essential Application/interview Knowledge of modern representation learning approaches, such as self-supervised