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an outstanding Postdoctoral Research Fellow to join our team working at the forefront of quantum communications, secure communication protocols, and machine learning–driven communication systems. The position
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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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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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language, vision–language, and vision–language–action models to improve generalization. A key objective is to design lightweight and efficient learning architectures suitable for deployment on resource
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journals and present findings at international conferences. Supervise graduate students and contribute to the academic community at UM6P. Qualifications, Experience and Skills: Ph.D. in Environmental Science
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critically, and communicate results effectively. Excellent scientific writing and oral communication skills in English are required; proficiency in French is a plus. Preferred Qualifications Experience in
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, or pilot-scale kilns. Proven ability to conduct independent research, analyze data critically, and communicate results effectively. Excellent scientific writing and oral communication skills in English are
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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experiments to assess the efficacy of microalgae and cyanobacteria in improving soil quality and plant performance. Analyze experimental data using appropriate statistical methods and communicate findings