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Requirements PhD (completed or near completion) in Electrical Engineering, Computer Science, Physics,Applied Mathematics, or a related field. Strong background in one or more of the following: quantum
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…) are expected. Application and Selection Process Applications must be submitted online; the folder must contain: A cover letter detailing the candidate's motivation for applying to this position. A comprehensive
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interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed
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university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to
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manufacturing process and formulation. Experience in designing and characterizing simple and complex fertilizers Good knowledge of technics used to evaluate the physicochemical properties of fertilizers and to
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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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sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to