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mouse surgeries, including tumor implantation, tumor resection, osmotic pump implantation, and post-op monitoring. Collaborate with team members to design and execute experiments, analyze data, and
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coverage - Paid Education Vacation and Sick Leave - Paid institutional holidays, wellness leave, childcare leave and other paid leave programs - Teachers Retirement System defined-benefit pension plan and
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aim to characterize their properties by investigating the impact of comorbidity, demographic factors, and symptom severity range on biomarker performance. We also plan to enhance and refine (for example
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designing and conducting experiments, analyzing and publishing datasets, presenting research at conferences or workshops, working collaboratively with other lab members and partners, and contributing to grant
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an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
) Work Unit Mechanical Engineering and Engineering Science Work Location Duke Centennial Hall Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per
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of the group. What You Will Do: Use simulations to model and predict detector behavior, contributing to the optimization of detector design. Collaborate with technical and research colleagues to develop
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, 2024. This full-time, year-round, two-year public interest fellowship is designed for relatively recent law graduates interested in a career in immigration law, with a preference for those dedicated
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to the optimization of detector design. Collaborate with technical and research colleagues to develop prototype detector systems. Design, set up, and execute experiments to characterize and evaluate detector
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Javascript. Experience in working on Unix/Linux systems (shell scripting, basic system administration). Experience in cloud computing (GCE or AWS). Experience in software design. Experience with Adobe Suite. A