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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review
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. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation
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and computational approaches in animal models, our team aims to translate this knowledge into new strategies for restoring movement and sensory-motor function in people with neurological disorders
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broad initiative to support talented and motivated first-generation and/or limited-income (FLI) students, the Success Coaching Program in Academic Advising (SCAA) was established at Johns Hopkins
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appropriate computer language/tools to provide technical solutions for highly complex application development tasks. Write functional/technical specifications from the highly complex system requirements
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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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Fellowship Program. The goal of program is to provide a supportive and challenging learning environment to foster the growth of clinical fellows to become experts in the field of medical speech pathology
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for the efficient operation of an office, unit or program. This position may provide support for fiscal and budget management for the assigned area, and provide project support to a Dean, Associate Dean, Department
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) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires