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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 24 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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Description The Research Training GroupGRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and
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analytical thinking skills, particularly in understanding how databases support data-driven decision-making. All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881
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26 Mar 2026 Job Information Organisation/Company University of Cyprus Department KIOS Research and Innovation Center of Excellence Research Field Computer science Engineering » Electrical
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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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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
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pioneering research in process systems engineering, with a focus on first principles and data-driven modeling, simulation and optimization with strong and permanent interactions with experiments. Integrate
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approaches for identifying, modelling, and integrating uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques
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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