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devices and circuits characterization using nonlinear vector network analyzers and vector signal analyzers. Behavioural nonlinear model development, extraction and validation of gallium nitride transistors
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, such as sensors and/or thin-film transistors (TFTs). f) Supporting documents proving compliance with these requirements must be submitted by the time of the fellowship contract's formalization and may be
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talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM). Where to apply Website https://www.academictransfer.com/en/jobs/357358/assistant-professor-in
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Engineering, Nanoscience or equivalent. Documented experience of semiconductor processing in cleanroom, especially of GaN-based transistors. Documented experience in electrical characterization of semiconductor
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transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | about 1 month ago
based on polymers and/or ceramics, as well as solid electrolytes, within thin-film electronic and electrolytic devices such as transistors and organic metadevices. The researcher will also be tasked with
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transistors (JoFETs) in silicon at Aalto University School of Science. In this position you will have a chance to make an impact on the foundations of modern superconducting technology in reduced dimensions as
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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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of the excellent performance of PCM switches at very high frequencies. Target applications include measurement instruments, antenna signal control, and test circuits for active components such as transistors
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research will focus on developing novel memory and logic transistors based on TMDs. These will target both near-term industrial applications and emerging neuromorphic (brain-inspired) computing architectures