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development of standard and deep sub-micron process nodes design flow and translate the key physical parameters from models to design kits to support full integration of such advanced devices in CMOS processes
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integrated photonics, and includes the potential to become a co-founder of Lightspring. We are looking for someone with complementary skills in photonics, optical design, numerical simulations of photonic
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, nanofabrication and data analysis) post-doctoral fellowship aims at studying the non-linear optical properties of a new type of integrated plasmonic logic gate devices. The research work will consist in integrating
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. Education: We prepare tomorrow`s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented
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Appointment Term: Initially 1 year, renewable Appointment Start Date: Fall 2025 but flexible Group or Departmental Website: https://www.liwanglab.org/ (link is external) How to Submit Application Materials
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, forming a unified whole from electromagnetic theory and antennas design to the design of integrated circuits and advanced hardware systems. Read more on the University website about being a Lund University
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quantum computing, including GKP state generation and nonlinear gates. EPIQUE (Horizon Europe): Cluster state generation on photonic integrated chips and its integration into a measurement-based Gaussian
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have submitted their doctoral thesis before starting in post. The ideal candidate will have a strong experimental background in one or more of the following fields: integrated circuits, GaN, CMOS, active
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of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). The position will focus on neuroimaging and neurocomputational studies of learning and brain plasticity. Our studies combine ultra-high field brain imaging
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theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models