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fields. The successful candidate will answer questions such as how to assign limited communication resources to train the federated machine learning model efficiently. She/he will investigate realistic
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geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be an asset for the candidate. The position is open to candidates holding a Ph.D. degree in Geology, Earth
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, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): The African Genome Center (www.agc.um6p.ma ), is a
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lead times. Develop strategies and risk management models to enhance the system’s resilience against logistical disruptions. Implement energy management approaches and CO₂ emissions reduction strategies
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. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and
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analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers
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, the candidate will help conceptualize and analyze sustainable models for luxury yachting and coastal tourism development in northern Morocco, while supporting SuRE In Lab’s broader mission of advancing innovative
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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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