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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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and immunological methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest
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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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operating procedures (SOPs). The Research Assistant will work under the direction of the principal investigator, program director or designee, such as a Lab Manager or above. Assemble annual and monthly
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/research conferences · Participates in the Sylvester Comprehensive Cancer Center Junior Development Program Qualifications Faculty members in the Department of Public Health Sciences will need to meet the
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field with a strong background in AI, machine learning, or deep learning). Demonstrated experience with CFD and/or FEA, particularly in biomedical applications preferred. Proficiency in programming
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laboratory equipment for human neurophysiology and computer programming experience with Matlab is advantageous, but everyone is encouraged to apply. Knowledge, Skills and Attitudes: Skill in collecting