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Field
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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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these challenges by exploring and developing advanced methodologies for wind turbine drivetrain condition monitoring. The successful candidate will primarily focus on: Signal processing techniques: Developing and
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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small water bodies are often the first point of entry for sources of pollution such as manure runoff (rural areas) or sewage overflows (urban areas), they also offer a starting point for a direct, source
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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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immediately before their appointment. The researcher cannot already be in possession of a doctoral degree. Desirable skills: expertise in signal processing, electrophysiology (especially EEG or MEG), language
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diagnosis of sepsis is of great importance; therefore, there is an urgent need to develop new and sensitive diagnostic methods enabling rapid recognition of the disease at home, in point of care, and in
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: Hardware and embedded development: miniaturization of a multifunctional sensor (< 15 grams), real-time data transmission (Bluetooth/IoT), energy autonomy. Signal processing and sensor data analysis: analysis