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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, and / or in vivo electrophysiology. Applicants without prior experience in
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database, including tasks such as entering data, performing queries, examining quality control metrics, and extracting data for analyses Developmental Imaging Acquisition (45%) Complete CMRR safety training
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, foundation models, image / signal processing, optimization, and control. Optics and Photonics: Expertise in the fields of optics, photonics, nanophotonics, quantum optics, optical materials, devices
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technical procedures (e.g., visual acuity, tonometry, perimetry, imaging) as required by the study protocol, minimizing the need for outside clinical staff support. Create source documents for accurate data
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professional domains and a desire to ask big-picture questions. Preferred Qualifications: Familiarity with natural language processing (NLP) or network science. Experience with machine learning libraries like
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/molecular approaches, in vivo imaging, behavior, histology, and EEG. The desire to learn new techniques and work as part of a collaborative team is strongly encouraged. Training in new techniques would be
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analysis. Perform immunofluorescence imaging of stained sections using wide-field confocal microscopy. The latter task may require development of immunohistochemical procedures for new antigens, preliminary
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Computer Science, Software Engineering, or similar technical field. Experience with autonomous vehicle or mobile robotics projects. Knowledge of advanced control techniques like Image-Based Visual Servoing (IBVS