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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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the wavelength reaches the mm scale. At lower frequencies it is common to use printed circuit antennas, which can be electronically switched between different radiation patterns and polarizations. Using
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. Funding is due to start from 1st October. FFA (Film Forming Amines) have been used for decades as corrosion inhibitors in water/steam circuits. More recently, they have also raised the interest of nuclear
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advantageous. Familiarity with mathematical modelling of power electronics circuits is also desirable. Funding Further information and other funding options . Informal Enquiries: s.neira@ed.ac.uk
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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a suitable candidate is found. Inexpensive and flexible integrated circuits composed of environmentally friendly materials, like metal oxides, are poised to revolutionize emerging semiconductor
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(or expect to obtain) a First Class or high 2:1 degree, or a Master’s degree, in Physics, Materials Science, or Electrical & Electronic Engineering. A solid understanding of semiconductor physics is a
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a team Flexible, self-motivated and able to plan his/her own work Good interpersonal skills High proficient in designing control system and electrical electronics circuit diagram Application form and
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electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD tools, integrated circuit prototyping
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industries, including transportation, consumer electronics, and industrial automation. This PhD project focuses on the design and optimization of intelligent systems with an emphasis on energy efficiency and