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, patient treatment planning and treatment support, as well as technology and workflow optimization and implementation. Active participation is also expected to teach residents/trainees and are expected
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, patient treatment planning and treatment support, as well as technology and workflow optimization and implementation. Active participation is also expected to teach residents/trainees and are expected
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responses. The successful candidate will work at the interface of viral vector development and cancer immunology, contributing to NIH-funded projects involving VSV platform optimization, immune modulation
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order to plan training sessions. Manage and maintain LMS system content, upload courses or other training items, build learning paths, and optimize system performance. Monitor and administer learning
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the development, optimization, and qualification of immunological assays for the testing of samples collected from human participants enrolled in clinical trials. Identify problems and collaborate
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for appropriateness, reach, and effectiveness. Lead the development of the social media monthly calendar to promote optimal audience engagement. Compile data across social media platforms for quarterly/annual reporting
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social media presence across current platforms and evaluate emerging platforms for appropriateness, reach, and effectiveness. Lead the development of the social media monthly calendar to promote optimal
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well as technology and workflow optimization and implementation. Active participation is also expected in teach residents/trainees and are expected to actively engage in clinical innovation and translation. The UM
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application of relevant technologies and information (e.g., knowledge management). · Plan for and implement appropriate technologies for collaboration and information sharing. · Support and optimize
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calibration, patient treatment planning and treatment support, as well as technology and workflow optimization and implementation. Active participation is also expected in teach residents/trainees and are