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regenerative medicine in the lab of Dr. Kai Mesa at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and
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immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity
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updated with the latest advancements to continuously improve processes. Qualifications Essential Qualifications: Bachelor's degree 5+ years experience in image data annotation or a related field. Good color
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experience in image data annotation or a related field. Good color vision required Ability to work at a computer workstation, performing detailed, repetitive tasks. Good visuospatial skills Exceptional
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scientist and engineer to lead R&D efforts on technologies for acquiring nanoscale volumetric images of brain tissue. This will include projects on robotic collection of ultrathin serial sections and
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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to all aspects including planning experiments; extracting cells or nuclei from brain tissue; sectioning, staining (smFISH/IHC) imaging brain tissue. Managing the animal or cell culture resources in
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, implement, and manage data processes and integrations among Museum systems and nightly routines that process and deliver data and digital assets Write and maintain custom code (primarily Python, PHP, and