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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
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Marrakech. Job Description: The CBS department at UM6P is seeking a highly motivated candidate with strong expertise and a keen interest in developing functional materials. This includes graphitic based
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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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, liquid formulations, and their applications. Design and develop formulations based on specific requirements, such as sustainability, performance, stability, and cost-effectiveness. Perform chemical
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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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Postdoctoral researcher in acid gas neutralization using carbonates from phosphate mine interlayers (12 mois) As part of its commitment to the circular economy and industrial waste valorization, and
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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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and Technology Transfer Center (AITTC), part of the College of Agriculture and Environmental Sciences (CAES), is dedicated to delivering high-impact research and services in agronomy, soil fertility
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: ACER invites applications for open rank positions to work as post-doctoral researchers in
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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high