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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 28 days ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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team with established expertise in software security, program analysis, and AI-driven code intelligence, with a track record of collaboration with leading technology companies and publications in top
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20 Mar 2026 Job Information Organisation/Company Riga Technical University Research Field Engineering » Electrical engineering Researcher Profile Leading Researcher (R4) Positions Other Positions
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professional and societal issues in technology-driven environments. The successful applicant must be willing and able to teach across a range of areas due to the interdisciplinary nature of contributing
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models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data-informed decisions across academic, administrative, and
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and digital personalisation. Working collaboratively with marketing, sales and digital experience leads on the development and implementation of UNSW's data-and-technology-driven CX/DX innovation
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of modelling and decision-support frameworks relevant to engineering and infrastructure systems. You should possess a good honours degree and a PhD (or equivalent professional experience) in Mechanical
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable
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prompts for AI-driven tasks using modern frameworks to ensure effective agent performance and precise task execution. Collaborative Development - Work with other technical teams (e.g., Data Engineering
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber