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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g. surveillance
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
evaluation, and predictive maintenance. The work also address user comfort and indoor environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort
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The Monthly Maintenance Allowance corresponds to the basic value of 1851,00 euros per month, according to the table of grants of FCT, I.P. in the country (http://www.fct.pt/apoios/bolsas/valores ) and Research
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with the Swedish Transport Administration and partners from the road industry. The project aims to create data-driven decision support tools for predicting pavement performance and planning maintenance
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). MONTHLY MAINTENANCE ALLOWANCE The Monthly Maintenance Allowance corresponds to the basic value of 1851,00 euros per month, according to the table of grants of FCT, I.P. in the country (http://www.fct.pt
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Phase 1 with AI to develop predictive maintenance capabilities and extract insights about the manufacturing process, such as: Identify any key parameters in the mfg process that impact material