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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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. Expertise in Big Data Analysis: Proven expertise in analyzing and processing large urban datasets for public health applications. IoT Knowledge: In-depth understanding of Internet of Things (IoT) technologies
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the development of cost-effective desalinization processes for agriculture and other uses, Renewable energy that aims at developing new approaches to produce clean energy to address persistent challenges
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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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scale-up of bioenergy and biofertilizer production processes from lab to pilot scale. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design
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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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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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modeling software (Datamine software, Leapfrog, Geovia, or equivalent). Experience with mine waste valorization and pilot process design is a strong asset. Proven publication record and project involvement
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applications for a Postdoctoral Fellow position in the field of green flotation chemistry and sustainable mineral processing. This research project focuses on the development, characterization, and application
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding