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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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Postdoctoral researcher in Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical
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, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
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Semantic communication and intelligent information processing Secure wireless, optical, and space communication protocols Design, analyze, and optimize new algorithms and system architectures for secure
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to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline
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: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline. Sound background in Electrochemistry/Chemical & Mineral Processes/Chemistry Experience in the recovery
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy