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have earned, or are nearing completion of, a PhD in Computer Science or a closely related field, with research interests, experience, and demonstrated contributions in Artificial Intelligence
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embryology, cardiac phenotyping, and transcriptomic and proteomic profiling. We seek a PhD or MD/PhD with a first-author publication record, mouse experience, and strong molecular biology skills; background in
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resolution imaging techniques and flow cytometry to address key questions. The prospective candidate should have the knowledge to perform cell culture works and a willingness to learn and trouble shoot new
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competitive for external funding. Candidates are also expected to contribute to graduate and professional education at IUSM. Applicants must hold a PhD (or equivalent) in biochemistry, pharmacology, molecular
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quantitative measurement to these system -from single molecules and nanoparticles to living systems, enabled by advances in instrumentation, spectroscopy, mass spectrometry, microscopy, and machine learning
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investigators in supportive oncology. · Strengthen research infrastructure, including team-science models, data resources, patient-reported outcomes, pragmatic trials, and learning health system approaches
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activities, including events, reports, and media engagement as appropriate. Collaborate with ISCA faculty and research staff on ongoing and emerging projects. Teaching Teach one course per semester
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activities, including events, reports, and media engagement as appropriate. Collaborate with ISCA faculty and research staff on ongoing and emerging projects. Teaching Teach one course per semester
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community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and
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: Applicants should possess a PhD in Physics, Chemistry, Engineering, or a related field. A substantial record of research accomplishments, appropriate to rank, is required, and applicants should be committed