83 modeling-and-simulation-"UNIVERSITY-OF-SOUTHAMPTON" Postdoctoral positions in Morocco
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motivated and talented postdoctoral researcher to join our team to develop a novel GPT-like system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend
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Position Title: Postdoctoral Researcher – Geometallurgical modeling and environmental assessment of mining waste Duration: 12 months renewable. Position Summary: We are seeking a highly motivated
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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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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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dynamic models. Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms). Develop decision-support tools based on simulations for public and private
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methodologies. Proven proficiency in thermodynamic modeling using FactSage, CALPHAD, and complementary simulation platforms like Aspen Plus. In-depth knowledge of electron microscopy, spectroscopy, and structural
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools to assess the impact of urban interventions on health. Smart City Experience: Experience in developing smart
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and