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Field
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predictive maintenance of ships and maritime systems. Modern vessels generate large amounts of heterogeneous operational data from sensors, machinery, control systems, maintenance records, and other sources
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interferometry, etc.), (v) Predictive modelling of coupled phenomena (reactive transport, rock-water interactions, etc.), (vi) Uncertainty quantification (Monte Carlo, meta-modelling), and (vii) Risk analysis. The
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data, and how we use that information to predict the genetic and demographic responses of spatially structured marine populations to environmental variation and change. Specifically, the primary focus
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, prediction of patient responses to the developed (nano)hormone-chemotherapy, and assessment of its potential as a competitive alternative to conjugate-based therapies, which are among the most expensive
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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to better understand and control the manufacturing process so that small, precise, and reliable structures can be produced efficiently. These developments will contribute to the project's broader
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joint research unit (UMR CNRS 7315) operated by the CNRS and the University of Limoges. Affiliated with the CNRS Institute of Chemistry (INC), IRCER conducts research on the understanding and control
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to contextualise future observations of Jupiter without an external monitor of solar wind conditions (e.g. the JUICE probe), (iii) making more accurate predictions for exoplanetary radio emissions to aid in
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on the structural integrity of metallic materials for hydrogen energy applications, with a focus on predicting their service life and failure mechanisms. The research will be carried out in close collaboration with
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project