108 phd-mathematical-modelling-ecological-modelling Postdoctoral research jobs in Morocco
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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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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD in ecology, biology, environmental sciences, civil engineering, or a
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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Eucalyptus plantations. Forest Ecology and Management, 494, 119275. Cornut I. et al. (2022a) Potassium-limitation of forest productivity, part 1: A mechanistic model simulating the effects of potassium
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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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experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers. Criteria of candidates: PhD in Chemical/Mechanical Engineering, Energy, Applied Chemistry, Applied
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated