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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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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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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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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
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. Manage tests with clients. Develop other tasks of the GAISSA-Optimizer project as the project evolves and research progresses. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support
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department is looking for an energy research eager candidate to join the group. The candidate will be asked to perform the following tasks: To develop energy management software that will enable optimal
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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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chemical contaminants. -Surface engineering: Application and optimization of different deposition approaches (e.g., dip-coating, spraying) to integrate the developed coatings onto commercial filtration