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holographic optogenetics and calcium imaging in awake head fixed mice, to understand how groups of neurons work together to enact motor actions. Neural activity is complex and high dimensional with some
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National
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successful candidate must possess strong verbal and written communication skills and the ability to work independently and as part of a team. Working knowledge of Word, Excel, PowerPoint, and image and
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functional imaging. Applicants should have a Ph.D. and/or M.D. and be creative and highly motivated. A strong background in mouse neural circuit manipulations and electrophysiology is desirable. For more
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: 34810257; PNAS (2023), PMID: 38048463; Nature Communications (2024), PMID: 38773107). Planned projects use a combination of advanced approaches, including molecular genetics, live cell imaging
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, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging, or coding is preferred, but we are also
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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scientists both within and beyond CNM. Key Responsibilities Develop and apply advanced S/TEM techniques, focusing on atomic-resolution imaging and spectroscopy (EELS/EDS) Implement automation and high
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medicinal chemistry (drug discovery, organic synthesis, total synthesis, and/or methodology); Experience in biomedical imaging (in vivo fluorescence imaging, photoacoustic imaging, dye engineering, and/or
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applications of deep learning, medical imaging, and biomarker integration. This full-time, one-year position offers a unique opportunity to engage in impactful research at the intersection of AI, connectomics