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for an academic advisor and coordinator for our SUGS graduate program. ME is a large department with more than 850 undergraduate students and around 600 graduate students; plus 68 tenured and tenure-track faculty
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working in HPC and cloud computing environments Desired Qualifications* PhD or MS in a STEM field Experience building computational workflows with frameworks like nf-co.re NextFlow, SnakeMake, WDL/Cromwell
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currently seeking a Senior Graduate Coordinator to join our friendly, collaborative, and welcoming student services team. The person in this position is responsible for managing the graduate program and their
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healthcare technologies. Contribution to curricular development and continuous improvement of the BME Design program through departmental service and professional development. Required Qualifications* PhD in
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, consisting of 4 staff supporting approximately 450 graduate and undergraduate students and 40 faculty instructors. You will provide administrative support to graduate degree programs, including 2 PhD and 6
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trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program integral to its mission and vision of leading advances in musculoskeletal health, through
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. The employee will work closely with multiple departmental labs on vision science related bioinformatics analysis, including training various lab personnel on pipelines the scientist develops. Analysis pipelines
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Bioinformatician-Computational Biologist. The Snitkin lab is comprised of an interdisciplinary group of scientists studying the evolution and transmission of antibiotic resistance (https://thesnitkinlab.com
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for an academic advisor and coordinator for our undergraduate program. ME is a large department with more than 850 undergraduate students and around 600 graduate students; plus 68 tenured and tenure-track faculty
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learning pipelines, and software development to investigate the role of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free