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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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. Contribute to the supervision of master and PhD students. Qualifications: Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field. Strong background in land surface modeling
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research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): MAScIR Foundation is a non-profit association that reports
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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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postdoctoral researcher specializing in Urban Energy Networks Management, with expertise in developing innovative models to optimize energy consumption in residential sectors, electric mobility, and urban
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funding applications Selection Criteria and Skills of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling
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, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields. Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale
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, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys collaborative work and interdisciplinary research projects
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when