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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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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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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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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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methods with emphasis on sustainability and supplier diversity, invest in leading tools and technology, and cultivate strategic supplier partnerships to source the highest quality products and services
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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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attitude, ability to work independently as well as in a team. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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Research Associate - Bovi-Analytics Lab The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 25 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