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. It constitutes a structure of applied research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and technology. To implement its vision
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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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conducts research in the fields of bioinformatics, computational biology and computational chemistry and serves the agricultural, environmental and health sectors. The lab also provides bioinformatics
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, and academic institutions. Required Qualifications PhD in one of the following fields: smart urban systems engineering, computer science applied to urban infrastructure, data science, or a related field
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of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python programming / package development, Co-supervise PhD and undergraduate students
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calculations to model and optimize heterogeneous catalysts. Conduct simulations to evaluate catalytic performance and reaction mechanisms. Analyze and interpret computational data to understand the interactions
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on soil biology, microbial ecology, and molecular biology techniques. This position offers an exciting opportunity to contribute to advancing our understanding of microbial communities in soil ecosystems
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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. The candidate will provide technical support to engineers and scientists involved in process and bioprocess engineering, renewable energy, biomass, and waste valorization. Education A Ph.D. in Physics/Chemistry
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Science, or a related field. Strong background in microbial ecology, particularly with experience in cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both