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Field
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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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to investigate structure-property relationships of the synthesized materials both from fundamental point of view and for industrial application in CO2 separation and storage processes; You are open to
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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the health of representatives and the sustainability conditions of union mandates as an original analytical entry point, this project intends to contribute to a critical, cross-country reflection
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of Personal Data of 27 April 2016. While providing personal data is voluntary, it is necessary in order to participate in the recruitment process to the extent specified in the regulations listed in point 3
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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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perspectives shape the research process and outcomes, and will contribute to dissemination through academic publications, conferences, and non-academic outputs such as policy briefings and creative engagement
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fNIRS recordings. The postdoctoral associate will develop and apply advanced signal processing and statistical techniques to quantify the relationships between neural and hemodynamic signals, and
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integration of heterogeneous data sources. Experience with signal processing and statistical modeling of high-dimensional data. Strong programming skills in Python and relevant ML frameworks (PyTorch
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large