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. Opportunity to contribute to high-impact research in Africa. A dynamic, multicultural work environment with a strong team spirit. Where to apply Website https://www.timeshighereducation.com/unijobs/listing
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with
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innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups and can be self-organized when they reach a critical mass. Academic liberty is
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available for one year, extended to two years depending on the performance. Interested applicants should submit their online application with a CV, cover letter, and 2 contacts for recommendation
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engineering, or related disciplines. Specialization or prior work on African cities or developing territories is a major asset. Advanced proficiency in GIS tools (ArcGIS, QGIS) and open spatial data platforms
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operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes: transport properties and selectivity. Monitor and analyze system performance: current
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deterioration or degradation in a single cell directly impacts the battery's overall performance and lifespan. Therefore, it is crucial to have a monitoring system in place for close oversight of this critical