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in fault detection, diagnostics (FDD), and preventative/predictive maintenance for industrial systems. The role is part of the EU-funded FLARE project, which focuses on improving industrial resilience
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multimodal neuroimaging, artificial intelligence, and multi-omics approaches to build diagnostic tools, identify biomarkers, develop models and tools to predict and improve treatment outcomes to impact
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health priority. Understanding which children are at greatest risk and which eye characteristics predict progression is therefore critical for developing effective, personalised management strategies
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that contribute to the development and maintenance of these conditions. These projects will use a variety of molecular, cellular and systems level techniques to study somatosensory circuits in rodent models and
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. Enforce all safety rules and regulations. Conduct training for staff, interns and volunteers in horticulture, equipment usage and maintenance, and safety topics. Serve on the Operations Committee as
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related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden
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) Predictive maintenance technologies which may include vibration analysis, infrared imaging thermography, lubrication analysis, electric motor diagnostics precision alignment, machinery balancing and/or
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 26 days ago
expected starting date is April 1st, 2026, upon availability of the financed funds. Monthly maintenance stipend: €1.309,64, according to the values table of FCT, at Portugal (https://www.fct.pt/wp-content
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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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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Optimization of the process digital twin - Development of a predictive