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(UM6P) is seeking applications for a Postdoctoral researcher in the field of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass
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related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and
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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources
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, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should enable him/her
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observations, atmospheric chemistry models, and physics-informed deep learning, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models
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a low-energy alternative for liberating indurated phosphates. This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with
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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical