169 linked-data-"https:" "https:" "https:" "Stanford University" Postdoctoral research jobs in Morocco
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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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must demonstrate a strong understanding of sedimentary basins, excellent proficiency in analyzing the different facets of hydrocarbon reservoir systems, interpreting seismic data, and applying structural
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background in trace element dynamics, soil–plant interactions, or environmental biogeochemistry. Experience in experimental design, data analysis, and scientific writing Added value: expertise in microbial
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link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientist, etc
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methods, instruments and perform data acquisition related to the project. Write proposals, reports, scientific articles and Patent proposals related to the project. Candidate Profile Strong proficiency in
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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attitude and ability to work both in a team and independently. Strong written and verbal communication skills, with a record of peer-reviewed publications. Proficiency with statistical analysis and data
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality
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data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model parameters and improve predictive accuracy. Contribute to code development, documentation