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students who are prepared for a lifetime of learning and rewarding work. Candidates should hold a PhD or master’s degree in electrical and computer engineering or related fields and should be comfortable
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computer data analysis. Preferred Education and Experience: * Experience in animal models of thrombosis * Experience using mass spectrometry to identify sulfhydryl modifications of proteins * A background in
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standard laboratory and office equipment. * Demonstrated computer skills and proficiency with MS Office Suite and data analysis and presentation software (Prizm, Adobe Photoshop and Illustrator, Image J, etc
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computer programming for health data analytics using Python and/or R, applications of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) in healthcare, health data
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demonstrated versatility in teaching various courses, including but not limited to the areas of computer programming such as Python and R, health application development, health data management and SQL, Machine
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, written, and interpersonal communications skills. * Demonstrated computer skills in SAS, MS Office and related database software. * Must be able to work independently and in a team environment while
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applicable computer software, and management skills (including planning, negotiation, and communication skills). *Ability to frequently interact with students, faculty, administrators and staff in a fast