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Field
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programs administration and innovation support services to SUNY faculty, students and staff performing research in areas including life sciences and medicine; engineering and nanotechnology; physical
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation
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Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and
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Job Description Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
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. Proficiency with computer aided design and computational modeling software packages (e.g.; SolidWorks, Ansys, Abaqus, Fluent, SimVascular, etc). Sufficient knowledge of program study area. Preferred Schedule
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to work independently; • Experience working on research projects with a research team; and • Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and
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, retirement plans, tuition assistance, paid time off, and a winter recess. POSITION OBJECTIVE Working under limited supervision, coordinate research work in medical and related technical areas. The Research
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Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19
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, nearly 12,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times has called “the most ambitious campus design program