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- UNIVERSIDAD POLITECNICA DE MADRID
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ICN2
- Institute for bioengineering of Catalonia, IBEC
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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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(primary and hPSCs derived). • Protein Purification. • Tau seed characterization and optimization. • Development and implementation of an in vitro reconstituted model. • Analysis of the effect of tau seed
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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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der Waals heterostructures. In particular, we will explore the optimal reading of magnetic information via non-linear effects. The project also foresees the integration of optimal working materials
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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
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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innovative experiments. The work will include defining and optimizing in vitro models using diverse cell types and advanced platforms, as well as establishing correlations between applied mechanical stimuli
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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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participate in the daily activities of the hospitalization area of infectious diseases and in the nosocomial infection section. The candidate will be involved in antibiotic optimization policies and programs