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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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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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, fluorescence screening, RNA footprinting and computational methods to study the atomic structure and dynamics of the RRE, identify new antiviral candidates and guide the optimization process. The publication
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and