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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic chemists, and data scientists. Maintain detailed records of experimental and
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researchers, engineers, and students working on addressing environmental challenges such as industrial emissions, urban pollution, and climate change impacts. ARC_AIR also collaborates closely with national and
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industry in Morocco and Africa, including food security, climate change and resource sustainability. In response to these challenges, IST&I in collaboration with national & international partners aims
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for African Studies: health. The candidate will collaborate with the Medical School. He /She has to be able to teach in English medical ethics. Responsabilités et taches prévues / Responsibilities and tasks
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health? This topic is in line with one of the orientations of the Center for African Studies: health. The candidate will collaborate with the Medical School. He /She has to be able to teach in English
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students and contribution to build up a first-class research-oriented research program at UM6P. The incumbent will be encouraged to collaborate with other researchers in related fields within the centre and
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. The incumbent will be encouraged to collaborate with other researchers in related fields within the centre and within UM6P. The position is open to individuals who hold a Doctoral degree in the subject discipline
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Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive maintenance systems using AI
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ability to work collaboratively in a multidisciplinary research environment. Preferred Skills: Experience in graph-based learning, attention mechanisms, and transformer architectures applied to chemical
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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