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Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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using digital imaging, artificial intelligence, and machine learning for real-time monitoring and predictive maintenance Collaborate with interdisciplinary teams for the design and development of high
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. The selected candidate is expected to conduct fieldwork investigations, seismic interpretation, Image Log and core logging focused on structural geology of the Meskala basin. This will involve a thorough
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interests in geomechanics, tectonics, sedimentary basin dynamics, and hydrocarbon reservoir systems. The selected candidate is expected to conduct fieldwork investigations, seismic interpretation, Image Log
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(SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary teams for the design and development of high-performance
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Spectroscopy (EIS), Potentiodynamic Polarization, and Scanning Electrochemical Microscopy (SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate
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monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary teams for the design and development of high-performance materials with enhanced
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), Potentiodynamic Polarization, and Scanning Electrochemical Microscopy (SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary
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multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and