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platform to measure communication signals between two types of biological cells: astrocytes and neurons. In the scope of this scholarship, the aim is to perform data analysis using advanced signal processing
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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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: machine learning, data analysis, statistical modelling, explainable AI, computational methods for large-scale data, and analysis of biomedical or population-based datasets. An interest in applications in
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solidification dynamic relationships bridging from Dendritic to Bulk Scales. Use model-based analysis to reveal how electromagnetic fields influence solute redistribution, dendritic growth and microstructure
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specifically focused on mental health. It may involve in the integration & analysis of mental health measures across related research strands across the PD-LIFE project and employing Delphi methodologies
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measurements with microscopic analysis of gut tissues. This integrated approach will reveal how enrichment impacts both body and brain with great relevance also to human health. While being a basic research
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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interests, whether you prefer system-level analysis, control design, simulation-based investigation, or a combination of these. The specific research direction will be developed in collaboration with
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insight provided by the experimenter, using methods such as Proper Orthogonal Decomposition (POD) [8], spectral analysis, or Dynamic Mode Decomposition (DMD) [9]—which are currently being implemented in