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The Princeton Computational Imaging Lab in the Department of Computer Science explores the frontiers of imaging and computer vision. To develop next-generation imaging and vision systems, the lab
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and genomics. 2) Building new software tools for visualizing 2D and 3D imaging data (at a variety of spatial scales) from the perspective of birds and other animals. We seek applicants with
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Qualifications: *PhD degree in neuroscience, physical sciences, or engineering. *Experience with large-scale image acquisition and basic image processing. *Proficiency with computer programming in languages
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study the structure and function of neural circuits for reward learning and decision-making. The researchers will record the activity of neurons in striatum or VTA with calcium imaging, and then
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software tools for visualizing 2D and 3D imaging data (at a variety of spatial scales) from the perspective of birds and other animals. We seek applicants with an interest in sensory ecology and a strong
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study the structure and function of neural circuits for reward learning and decision-making. The researchers will record the activity of neurons in striatum or VTA with calcium imaging, and then
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Neuroscience or other closely related field Preferred qualifications: -electron microscopy, light microscopy -viral labeling, immunolabeling -stereotaxic surgery -MATLAB, Python, image analysis software (e.g
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access to PLI's $9.6M GPU cluster (300 H100s), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social
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), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social sciences, natural sciences and engineering
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extensive ex-situ characterization of synthesized nanomaterials by materials evaluation tools. Expertise is required in a wide range of spectroscopic and imaging techniques for materials evaluation, along