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- UNIVERSIDAD POLITECNICA DE MADRID
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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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chemical contaminants. -Surface engineering: Application and optimization of different deposition approaches (e.g., dip-coating, spraying) to integrate the developed coatings onto commercial filtration
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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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analysis: LabView and MatLab. Design and execution of experiments and measurements in hydraulic vibratory systems. Design, development and optimization of hydraulic systems to extract energy. Modern Fluid
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of digital data in DNA. -Contribute to designing and optimizing methods for DNA digital data storage in nanomaterials. -Collaborate with interdisciplinary teams, including molecular biologists, chemists
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alarm protocols; experience in sensor deployment/SCADA and data processing. Ability to optimize regeneration systems and integrate them into service networks; knowledge of EU regulations on water reuse
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.Diseño y optimización de PCBs (Altium Designer, KiCad, OrCAD )/ Design and optimization of PCBs (Altium Designer, KiCad, OrCAD ) (15%) 3. Instrumentación / Instrumentation (10%) 4.Uso de herramientas de
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Polarization (PHIP). Experience in NMR and MRI pulse sequence development, optimization, and implementation. Strong quantitative and analytical skills for processing and modeling magnetic resonance data