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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
on this foundation, this project will advance distributed and lightweight LLM architectures to enable resource-efficient spectrum allocation across highly dynamic and interference-prone 6G aerial environments. As LLM
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of complex and software-intense systems and is characterized by extensive international cooperation as well as close collaboration with the local industry. With approximately 50 researchers including PhD
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after 4 years. Where to apply Website https://www.academictransfer.com/en/jobs/356185/phd-in-reconfigurable-spatial-a… Requirements Specific Requirements We offer a fully funded PhD position for 4-years
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experience as a GSI is desired. I am also interested in working with GSI's with prior coursework in architectural history, theory, and criticism, whether at Taubman College at the Master's or PhD level or
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Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Qualifications: Minimum
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anticipated that the initial focus of the project will be on transmon design, before extending methods to emerging architectures such as unimons. The PhD will suit a candidate interested in optimisation
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of interest include AI-enabled software development and agentic systems, automated software engineering, software security and trustworthy systems, quality assurance and testing, software architecture, formal
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more information about this assessment on our website about knowledge … Where to apply Website https://www.academictransfer.com/en/jobs/357324/phd-position-on-predictive-mode… Requirements Additional
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 2 months ago
the proposed architectures. Fabrication and process development: Collaborate closely with the foundry before and during the fabrication of the PICs. This includes the analysis, use, and refinement of the Process
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data efficiency. Decision Making/Autonomy (10%) – Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and