171 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Morocco
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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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 of agriculture
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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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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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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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Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences
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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