34 assistant-professor-and-human-computer-interaction Postdoctoral positions at University of Miami
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-time Postdoctoral Associate to join the laboratory of Dr. Rivka Stone MD PhD at the Wound Healing and Regeneration Research Program. The Stone Laboratory is engaged in two major funded areas of wound
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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of disease, and human samples and data sets. Key responsibilities and qualifications include: 1. Design and execute in vitro and in vivo experiments in collaboration with immunobiology and cardiovascular
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The University of Miami Frost Institute for Data Science and Computing seeks a postdoctoral associate to join
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, processes, and computer programs as needed. Must be able and willing to maintain a high standard of personal cleanliness and utilize protective gear to protect the health of the animals. Experience with
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Cancer Epigenetics Program, please visit our website at: Cancer Epigenetics Program | Sylvester Comprehensive Cancer Center | University of Miami Health System (umiamihealth.org) CORE QUALIFICATIONS
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coupling for ultrafast emission in PI’s lab. ·Builds and maintains laser microscopes in PI’s lab. ·Assists in mentoring and training students in research and presentation. The University of Miami is an Equal
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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 to apply for a faculty or staff position using the Career worklet, please review this tip sheet...
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems