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title: Advanced Pricing Models and Numerical Approaches for Emission Allowances and Renewable Energy Certificates Research line / Scientific-technical services: Valuation of Renewable Energy Certificates
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Degree and a Master's Degree in Chemical Sciences specialized in Organic Chemistry will be highly valued. Experience in optimization of microwave-assisted synthetic methodologies is essential. Experience
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Project title: Reduce order modelling and design optimization of robot manufacturing and motility The consortium: GREENS ( A Training Programme on 5R's implementation in the design, manufacturing and
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. Conocimientos en el tratamiento de datos de ensayo y métodos de optimización numérica Knowledge of systems and structures of heavy vehicles. Knowledge of test data procesing and numerical opitimization methods
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. Conocimientos en el tratamiento de datos de ensayo y métodos de optimización numérica Knowledge of systems and structures of heavy vehicles. Knowledge of test data procesing and numerical opitimization methods
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of mathematical programming and optimization, using software such as GAMS and MATLAB. 4. Fluency in communicating and writing reports in English. LanguagesENGLISHLevelExcellent Additional Information Work Location
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. The recruit will focus their work on one or more of the following sub-lines of work: low-resolution algorithms, model optimization with HPC techniques, edge computing, quantum computing, energy-efficient
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by the project “ORIGAMI: Optimized resource integration and global architecture for mobile infrastructure for 6G” (Grant Agreement n. 101139270), funded by the Smart Networks and Services Joint
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-economic assessment models. Contribute to the development of a mathematical programming model to optimize metal supply chains. Disseminate research findings through publications in peer-reviewed journals and
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in applied optimization, AI/ML, algorithm design (primary); and communication/computing systems (secondary). Prior research experience and publications are a plus. Excellent academic results (First