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. The successful candidate will develop the technologies in question, implement them in user-friendly software tools, and collaborate closely with anti-doping programs to apply these technologies for PED discovery
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expected to work in a collaborative environment, adhere to best software and data practices, write technical notes and peer-reviewed publications on their work, and for their work to be prepared for use by
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serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography
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for biological, engineering, and environmental research in a variety of library databases and library-related software platforms -Excellent interpersonal skills, project and time management skills, and the ability
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Science, Mathematics, Engineering, or Data Science -Strong research skills, especially for computer science, data science, and /or engineering research in a variety of library databases and library-related software
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experience Preferred Qualifications: CAD-CAM software Ability to interact effectively with various department constituents, including faculty, researchers, visitors and students Princeton University is an
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
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the ability to convey scientific knowledge across technical and non-technical audiences. -Experience in budget management. -Interest in outreach programs. -Ability to learn quickly. -Experience with software