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months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
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Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All employees serve as a
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to: *Medical, Dental, and Vision Care Plans *Flexible Spending Accounts *Paid Time-off and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
written communication skills and proven team-working skills. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
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alterations under the direction of the principal investigator. Assists in the design and execution of experiments. Has essential computer skills. Maintains database on computer. Assists in packing, unpacking
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Qualifications Postdoctoral fellow in visual neurophysiology and deep modeling — Ph.D. or M.D./Ph.D. in neuroscience, biomedical engineering, computational neuroscience, physics, psychology, or related field
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: Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program. Paid time off, including annual (12-month faculty) and sick time off and paid
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or hearing. No special vision requirements. WORK ENVIRONMENT: The candidate will work primarily in Newark or New Brunswick with some remote work flexibility. Candidate will have access to a standard computer
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: The Department of Computational and Data Sciences (CDS, https://sciences.gmu.edu/cds) at George Mason University (GMU) is a rapidly growing department for data science and computing innovation. Part of the College