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. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
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to identify, quantify and compare these precursors using controlled laboratory experiments on granular systems combined with advanced optical measurements, with the objective of improving failure predictability
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-develop next-generation supply chain analytics leveraging predictive modeling, semantic models, AI, and natural language processing for advanced projects (e.g., semantic item classification, opportunity
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facilities as well as to a home-built transfer stage equipped with imaging tools. You will work in close collaboration with our theoretical team. Your experiments will test and challenge the predictions of our
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and industry. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and
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of brain activity associated with a volitional thought onto signals suitable for communication and control. In most of BCI systems, brain signals are measured by electroencephalogram (EEG), due to its
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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, Semola et al. (2023), Continual learning for predictive maintenance: Overview and challenges. Intelligent Systems with Applications 19 (2023) 200251. https://doi.org/10.1016/j.iswa.2023.200251 The Doctoral
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, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn
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for Predictive Product Properties (MTV)". Your research focuses on the experimental and material-modelling foundations required to enable predictive and controlled TVAM. You will be embedded in the Processing