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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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) Time series modeling, forecasting, and real-time monitoring in dynamic bioeconomic systems Data-driven modeling and intelligent control in bioeconomic systems Out-of-distribution (OOD) generalization in
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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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at: https://www.math.aau.dk/english. Stipend 2 will be located at the Department of Health Science and Technology, that conducts research that spans biomedical sciences, clinical research, biostatistics
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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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that directly improve quality, throughput, and process stability. You will build, test and deploy data-driven (AI) models for the control of the robotic manufacturing process based on actionable insights
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-driven leader with a proven background working in Advancement technology and complex CRMs to support the business needs of a growing Advancement department. Reporting to the Assistant VP of Advancement
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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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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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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