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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
, with particular interest towards • Semiconductor materials, devices, and packaging for applications including but not limited to electronics, interconnects, optoelectronics, quantum phenomena, and
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for the Glasgow region’s dynamic advanced manufacturing industrial supercluster, specialising in technologies such as semiconductors and quantum technology. In this role, the successful candidate will engage with
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-the-Loop) Machine Learning Quantum Computing, Sensing, Communications Semiconductor Devices (Simulation, Characterization, Reliability) Wide Bandgap Power Electronics This is a nine-month fixed-term position
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encouraged areas of research include: Space applications and space readiness for emerging materials and processes Concepts, devices, and circuits advancing state-of-the-art semiconductors, including (but not
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set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/ Research in the Podjaski
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Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel blends with n-type and p-type semiconductor capabilities The pattering of the semiconducting hydrogel
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Co-ordinate the creation of methods to link all stages in the design, creation and validation of photonic integrated circuits. Leverage Semiconductor industry methods and standards to improve
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Resilience & AI Security, Quantum Information Science & Engineering, Bioelectronics & Bioinformatics, and Semiconductors. The successful candidate will help advance Watson College's commitment to a diverse
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experimental nonlinear photonics, optical communications, optical sensing and signal processing, optical frequency combs, biophotonics, fibre lasers, and semiconductor lasers. AIPT hosts the UK Multidisciplinary
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Device Fabrication process, reliability analysis, process characterization, Semiconductor packaging, assembly and testing. System Engineering: System and Project Management, Model Based System Engineering