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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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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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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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emissions modeling. Simulation & Optimization Framework Build and validate a dynamic simulation model of mine haulage operations. Integrate multi-objective optimization to explore trade-offs across cost
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collection and scenario development. Techno-Economic & Environmental Assessment Model life-cycle costs and greenhouse-gas emissions for IPCC, trolley-assist, battery-electric trucks, etc. Perform sensitivity
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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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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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: Chemistry with its main chemical engineering component, chemo-biology and treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms