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Field
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-density electrophysiological recording systems, two-photon imaging, optogenetics, transgenic mouse lines for targeting specific neuronal subtypes, and behavioral rigs. We strongly encourage candidates
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, imaging and timing applications. In this project, we will: Develop Bayesian deep learning methods for event-based data, including single-photon detections and neuromorphic camera data. Investigate Bayesian
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with experience in transcriptomic material generation and analysis, in vivo 2-photon microscopy, adeno-associated virus production and use, experimental design, and data analysis. Job Description Primary
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gyroscope. Required Qualifications: Doctoral degree issued prior to appointment start date Strong background in photonics, especially lasers and sensors Required Application Materials: CV Stanford is an equal
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processing in the mammalian cochlea in vivo , and how these influence central auditory neuronal pathways. The project will primarily involve using in vivo 2-photon imaging and AAV-gene delivery applied to a
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surgical, animal handling and imaging protocols for longitudinal two-photon and wide-field optical imaging to capture cerebrovascular and neuronal dynamics in awake and anaesthetised Alzheimer’s models
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bodies. Applicants will possess a relevant PhD (Physics, Optics, Photonics, Optical Engineering or nearing completion) or possess an equivalent qualification/experience in a related field of study and be
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interfaces with organic materials and 2D materials and investigate the charge transfer dynamics Test the photon sensing efficiencies to radiation photon and polarized photons. Participate in proposal writing
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of optical microresonators and silicon photonics components, such as waveguides, gratings, power splitters, multiplexers, and demultiplexers. The research project will focus on developing an innovative
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Neuroscience or related fields with experience in transcriptomic material generation and analysis, in vivo 2-photon microscopy, adeno-associated virus production and use, experimental design, and data analysis