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. The successful candidate will work on a research project that will investigate the neural circuit mechanisms of visual decision-making, learning, and attention. The project combines electrophysiology and
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circuits and electronics integration. It is desirable that the candidates have sound knowledge in statistical analysis of device output and have experience with failure analysis. The role holder will work
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materials such as semiconductor nanowires, graphene, or two-dimensional semiconductors. They will have experience with designing, fabricating and characterising arrays of devices such as integrated circuits
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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will make a leading contribution to a project aiming at the development of a new type of superconducting quantum circuits and their integration with cryogenic quantum electronics (e.g. quantum logics and
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) and arthritis pain (e.g. psoriatic arthritis pain), with a focus on ion channels and neural circuits. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience
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anticipated based on performance and funding. The faculty member will be expected to conduct research and development (R&D) on photonic integrated circuits (PIC) including, but not limited to pioneering