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- UNIVERSIDAD POLITECNICA DE MADRID
 - FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
 - ICN2
 - Institute for bioengineering of Catalonia, IBEC
 - Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
 - Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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 - CIC nanoGUNE
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 - CIC biomaGUNE
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 - Fundación IMDEA Materiales
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 - Institut Català de Nanociència i Nanotecnologia
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experience in the use of algebraic optimization models - Essential knowledge and proven experience in developing machine learning tools applied to the chemical process industry Specific Requirements
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) - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - English: demonstrated ability to write and edit scientific texts in English. Specific Requirements - Quantify
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alimentación / Design and optimization of power supplies. Modelado y control de convertidores / Modelling and control of power converters. Diseño de componentes magnéticos de alta frecuencia / Design of high
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optimización de fuentes de alimentación / Design and optimization of power supplies. Modelado y control de convertidores / Modelling and control of power converters. Diseño de componentes magnéticos de alta
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: Development and optimization in the acquisition protocol of novel MRI sequences Implementation of the specific analysis pipelines, from quality control to statistical analysis of the measured outcomes Writing
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to consortium collaborators. Development, optimization, and implementation of novel quantitative proteomic methods. Direct supervision of a Research Technician supporting the group’s experimental activities
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preclinical models. The work will include: Developing and optimizing radiochemical labelling protocols for nanomotor formulations. Performing quality control, stability, and dosimetry studies of radiolabelled
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potencia / Knowledge in the design and optimization of power converters -Conocimientos en el diseño de componentes magnéticos de alta potencia / Knowledge in the design of high power magnetic components
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Systems (MAS) theory: cooperation, negotiation, coordination, and competition. - Game theory and reinforcement learning for distributed optimization for agents' properties (e.g., perception, reasoning
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: Development and optimization in the acquisition protocol of novel MRI sequences Implementation of the specific analysis pipelines, from quality control to statistical analysis of the measured outcomes Writing