483 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Maryland, Baltimore
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full-time PhD faculty from the Division of Biostatistics and Bioinformatics, as well as affiliated data science faculty from across the University of Maryland. There also is close collaboration with
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and execution of imaging protocols involving PET and PET/MRI. The technologist will work closely with physicians, physicists, technologists, and research staff to ensure high-quality imaging data
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filled. Interested applicants should submit (a) cover letter, (b) resume, (c) teaching evaluations and (d) contact information for three references. The expected salary for a Visiting Assistant Professor
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efforts including support in writing, data collection, and website updates. The MPower Communications and Operations Specialist works in collaboration with programmatic leadership to accomplish and improve
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to the training of fellows and students. The Shared Resource currently includes 5 full-time PhD faculty from the Division of Biostatistics and Bioinformatics, as well as affiliated data science faculty from across
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interpret experimental data using various relevant computer software applications (i.e., including GraphPad Prism, SoftMax Pro, Microsoft Excel, Methodical Mind, R etc.) Independently execute immunological
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Responsible for coordinating the day-to-day operations of research studies in the department. The position coordinates data maintenance, grant expenditure adherence, project evaluation, meeting scheduling, and
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efforts including support in writing, data collection, and website updates. The MPower Communications and Operations Specialist works in collaboration with programmatic leadership to accomplish and improve
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of Maryland Baltimore and in the Baltimore area more broadly, as well as working with patients to describe the study to them, consenting participants, collecting study data, helping with study assessments
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target trial emulation: Developing and Applying advanced causal inference methods to analyze real-world data (e.g., OLDW) Scientific writing: Publishing leading biostatistical and clinical journals Data