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(transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various communications-related performance metrics were considered, such as reliability, connectivity, throughput
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self
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geospatial data. Design and implement spatial models and analyses to explore urban dynamics (growth, accessibility, density, etc.). Develop interactive tools or dashboards to visualize results and support
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Title: CAES – Postdoctoral researcher in Modeling and quantitative analysis for efficient use and
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Job Title: CAES – Postdoctoral researcher in Modeling and quantitative analysis for efficient use and sustainable management of water at the Farm-Scale in semi-arid regions Job Description
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis