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of commercial and custom annotation software Collect relevant data from multidimensional images and videos Review and correct automatically or manually generated annotations Perform quality control on large
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and custom annotation software Good spatial visualization skills and hand-eye coordination. Collect relevant data from multidimensional images and videos Review/correct automatically or manually
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working with large datasets or computational workloads on HPC or cloud platforms is a plus. Experience with workflow-management systems such as Nextflow is a plus. Experience with data visualization and
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. Our research integrates genetic, molecular, cellular biology and structural biophysics to inform both basic biology and future therapeutic applications. For more information, visit https
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visualization platforms. Experience with program assessment and longitudinal student tracking. What This Role Is Not Not a pure data role. This role works closely with students and institutional partners, not
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expertise spanning systems neuroscience, computer-vision, pose-tracking, behavioral ML, and VR technology to join the Schulze Lab. In this role, you will integrate custom hardware and software with
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to study neural circuits in specific brain regions. Their goals are to visualize the activity of relevant neurons, determine where their axons project, and evaluate the behavioral and physiological
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mechanism by which visual and motor systems across the brain and body underlie perceptual abilities optimized to the specialized behavioral demands of different animals. Our work is deeply engaged with
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programming languages (e.g., Python, R) to analyze large datasets, develop custom functions, and extract actionable insights through effective visualization. Establish and maintain data standards, formats
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell