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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real
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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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, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience
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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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alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description CBS is looking for a post-doctoral fellow in process systems engineering, and particularly in modeling
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Position Title: Postdoctoral Researcher – Geometallurgical modeling and environmental assessment of mining waste Duration: 12 months renewable. Position Summary: We are seeking a highly motivated
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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selected researchers will contribute to both experimental and modeling activities involving sorption and condensation technologies, solar thermal integration, and system optimization. Responsibilities will