191 phd-mathematical-modelling-population-modelling Postdoctoral positions in Morocco
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and providing guidance to PhD students who are actively involved in ecohydrological modeling research. - Conduct laboratory analyses and field work. - Collaborate with local researcher from the college
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system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting
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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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Postdoctoral Researcher: Genomic Language Models for Bacterial Genomes Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher: Genomic Language Models for Bacterial Genomes Location: University Mohammed VI
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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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, 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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analysis, crop yield estimate uncertainties, and analysis of yield historical trends to model future trends, spatial variability, and drivers, Develop novel mathematical and computational models to simulate
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for accurate snowmelt-runoff modeling. Existing hydrological models often fail to capture these dynamics, leading to uncertainties in water resource forecasting. As climate change continues to alter snow
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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