18 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nature Careers in United States
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Postdoctoral Research Fellow - Computational Biologist Dana-Farber Cancer Institute Boston, MA Full Time Overview The Collins Genomics Lab at Dana-Farber Cancer Institute seeks a POSTDOCTORAL
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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informatics and clinical applications team. Faculty rank may be at the Instructor, Assistant or Associate level commensurate with years of experience and accomplishments. This individual will be responsible
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SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
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to the design and development of investigator-initiated clinical trials (IITs) o Assist in drafting study protocols, case report forms, and study-related documents o Collaborate with the biostatistics team
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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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Digital Pathology (MCDP) is seeking an AI Research Fellow to help advance the next generation of pathology practice. We are seeking an exceptional researcher who blends technical excellence with scientific
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Digital Pathology (MCDP) is seeking a Digital Pathology Research Fellow to help advance the next generation of pathology practice. We are seeking an exceptional pathology-trained fellow who blends clinical
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: Research Associate: Maintain, breed, and genotype mouse colonies; receive and organize reagents and supplies; prepare lab reagents; assist lab members and the Principal Investigator with experiments; support
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including