50 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions at University of Miami
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natural language processing methods for analysis of unstructured clinical and biomedical data. 4. Experience with cloud-based and high-performance computing environments to support scalable data
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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education is a PhD in Meteorology, Atmospheric Science, Computer Science, Engineering or closely related field. Knowledge of air-sea interactions and boundary-layer processes in hurricanes is preferred. We
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to apply for a faculty or staff position, please review this tip sheet . The Department of Ocean Sciences of the University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. Department Specific Functions This post-doc will work in the laboratory of Dr. Brian Walker on the Genomics and Epigenomics of Multiple Myeloma, which is embedded in Sylvester’s Myeloma Institute
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Education: Ph.D. in <b>computer</b> <b>science</b>, <b>computer</b> engineering, data <b>science</b>, or related areas Certification and Licensing: Not Applicable...
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science, clinical research methods, biostatistics, and related disciplinary areas relevant to ongoing research programs. Present research findings at local, national, and international scientific
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how