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optimize laboratory protocols for characterization, and functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using
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), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports
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the performance and safety of advanced electrochemical cells. Analyzing and interpreting experimental data and communicating findings through manuscripts for peer-reviewed journals, presentations at scientific
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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data and contribute to scientific publications Requirements: PhD in Plasma Science, Chemical Engineering, or related fields Candidate Profile PhD in Plasma Physics, Applied Physics, Chemical Engineering
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The successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate
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assays, etc. Actively contributing to critical data analysis, protocol optimization, and the writing of scientific reports. Supporting the valorization of research outcomes through scientific publications
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unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore
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data sequences from the project and reports. Prepare high draft quality manuscripts for submission Mentor master students and PhDs Education, qualifications, and experience Applicants must have earned a
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parameters to optimize recovery and product quality; Evaluate potential valorization routes for process by-products and residues; Analyze, interpret, and synthesize experimental data to support process