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periodic sampling campaigns of raw seawater, and monitoring its physicochemical and biological quality. Data analysis and modeling: Processing and analyzing seawater quality data and developing statistical
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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
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related field . Expertise in microbiome data analysis, metagenomics, or metaproteomics . Proficiency in bioinformatics tools for multi-omics data processing Strong publication record in relevant fields
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, and flight tests for mechanical and aerodynamic validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1
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growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience using a variety of laboratory equipment and techniques. Mastery
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. Author scientific publications, present findings at conferences, and contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science
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, and other engineers, PhD students to plan and implement experiments related to the project. Set up testing methods, instruments and perform data acquisition related to the project. Write proposals
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environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical data. Knowledge of computer-aided synthesis planning (CASP) tools
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strategies for sustainable water management in cities. Personal and Organizational Skills Ability to transform complex data into actionable insights for research and decision-making. Strong capacity to work
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learning models for emission predictions Participate in field campaigns across Africa Publish in high-impact journals Contribute to data visualization platforms Required Qualifications Ph.D. in Atmospheric