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Field
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physiological signal. This MSc by Research will investigate a fundamentally different question: “Can low-energy electrical measurements provide a reliable estimate of changing fluid volume within a cardiovascular
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to build the developing brain? This project explores how neuronal signals regulate astrocyte function and how this communication is disrupted in neurodevelopmental disorders. Using a unique combination of
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integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly affected by environmental and operational conditions. This project aims to tackle
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://www.microman4health.eu/ ). The described open position has the topic “EDM Machining-State Analysis from Discharge Signal Data” and is supervised by Prof. Dr. Andreas Schubert. This network focuses on developing data
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decisive importance for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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that links the generation and transmission of mechanical forces to cell mechanics and intracellular signalling, with particular emphasis on mechanosensitive calcium signalling. The aim is to determine how the
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diverse backgrounds and career stage. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your
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investigated as drug targets. The aim of the project is to understand how the orphan receptor is activated and signals, develop high-throughput screening assays and identify drug-like modulators. You will use
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest