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required; proficiency in French is a plus. Preferred Qualifications Experience in pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g
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innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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network of universities and research centers around the continent to link real field issues with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular
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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 consists of a multidisciplinary team of agronomists
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bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High