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Field
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learning, inverse problems and statistical signal processing. Specific Requirements Ample experience in acoustics research. PhD in Acoustics is required, experience in microphone array processing, acousto
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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE: Postdoc / R2: PhD holders RESEARCH FIELD(S)1
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at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level
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of what criteria will be 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
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: Strong background in communication theory, signal processing, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical
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interaction, data processing and interpretation, preparation of scientific publications, and participation in the dissemination of project results. Required Qualifications: completed a PhD in natural sciences
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energies, as well as the material and organisational constraints that weigh on the environmental assessment processes from the point of view of the actors who implement them in the investigating departments
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through the PCM itself [3-5], or indirectly. The former is reserved for specific applications involving small RF switches. In the second case, an electrical signal heats a highly resistive intermediate
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties