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Science, Earth Sciences, or related fields. - Strong background in isotope hydrology, ecohydrology, and modeling techniques. - Experience in fieldwork, data analysis, and scientific writing. - Excellent
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Science, Energy Processes or another suitable engineering discipline. Sound background in Energy systems and Fuel cell hydrogen applications. Skills in modeling & structural analysis using various existing
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated
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, Raman spectroscopy, Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), BET surface analysis, Fourier Transform Infrared Spectroscopy (FTIR), and X-ray Photoelectron Spectroscopy
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-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings
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high-quality scientific publications Supervision of master and PhD students, providing guidance on experimental techniques, data analysis, and research methodologies. Job requirements: You have a PhD
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material synthesis and characterization techniques (e.g., FTIR, XRD, SEM, TGA, BET). Proven experience in data analysis and material performance optimization. Track record of publications in peer-reviewed
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated