896 computing-"https:"-"IDAEA-CSIC" "https:" "https:" positions at Rutgers University
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use of a computer and expertise with the following software: Microsoft Office Suite, specifically Microsoft Word, Microsoft Excel, PowerPoint, Publisher and Outlook. Physical Demands and Work
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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Staff - 12 month Position Pension Eligibility PERS Qualifications Minimum Education and Experience Graduate from an accredited Nursing Program Certifications/Licenses Possession of a valid registration as
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of establishing an interdisciplinary, integrated program to provide comprehensive research focused on prevention and treatment of Alzheimer’s disease and related dementias. This center is the first of its kind in
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program planning and development. Must be able to multitask and respond well under pressure in crisis situations. Also requires excellent written and verbal communication skills and computer literacy. 5
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techniques, gel electrophoresis, RNA isolation systems, PCR machines, autoclaves, Apple computers, Windows PC’s, electrophoresis equipment, and protein purification systems (e.g., tissue homogenization and
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). This position offers an opportunity to contribute to a dynamic research program spanning epidemiology, aging, molecular epidemiology, and health services research. The successful candidate will lead and support
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within those fields. Must be fully conversant with all Accreditation Council for Continuing Education (ACCME) standards. Preferred Qualifications Commitment to and experience with TB educational program s
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successfully complete a security risk assessment by the U.S. Department of Justice, and will be enrolled in the personnel reliability program, and be approved for access to select biological agents and toxins by
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neuroimaging data, including structural CT/MRI, resting-state fMRI, DTI, and task-based fMRI, using statistical, computational, and machine-learning approaches. The neuroimaging data will be interpreted along