31 computer-science Postdoctoral research jobs at University of Miami in UNITED-STATES
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to apply for a faculty or staff position, please review this tip sheet . The Department of Informatics and Health Data Science has an exciting opportunity for a full-time Postdoctoral Scholar to work on the
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration of artificial intelligence (AI
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and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred. The successful candidate will be working in a collaborative environment with multiple faculty
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, computational biophysics, and protein engineering. However, candidates with a strong research record in any of the project's key areas and an interest in developing other project's key skills are welcome
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, document, and release production-quality software packages Department Specific Qualifications Education: PhD in Bioinformatics, Computational Biology, or Computer Science with biological applications
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or responsibilities as necessary. MINIMUM QUALIFICATIONS MD or Ph.D. in relevant field Knowledge, Skills, and Abilities Computational Simulation Engineer preferred Excellent knowledge of computer science, solid
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: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication
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to apply for a faculty or staff position, please review this tip sheet . The Ocean Science Department at the University of Miami Rosenstiel School of Marine, Atmospheric and Earth Science has an exciting
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biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems. Highly motivated