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the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
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, including health, vision and dental insurance. Retirement plans with high contribution match rates, sick time roll-over, paid vacation time, including holidays. Plus an extensive employee discount program
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account options for medical and childcare expenses • Robust free training access through LinkedIn Learning plus professional conference opportunities • Expansive employee discount program including
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, including regional campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health
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Analytics and Visualization, Game Development, Human-Computer Interaction, and UX. Our commitment is to excellence in applied research, innovative teaching, and strong professional partnerships. To learn more
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 12 hours ago
of training and development programs through our Dare to Learn Academy ,and the employee assistance program , many of which are offered free of charge. Recruitment Range $55,265 - $61,406 Recruitment Range
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
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resources and assists them in identifying career opportunities in Northern Nevada. Dual Career Assistance Program Department Information https://extension.unr.edu/default.aspx Search Contacts Holly Gatzke
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-ray diffraction), and/or plasma or propulsion systems. Demonstrated ability to design for subtractive, additive, or hybrid manufacturing processes. Experience with machine learning, computational data