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such as neuroscience, biology, engineering, or computer science. Experience working with Drosophila, using neuroscience techniques, and/or programming (ideally in MATLAB or Python) will be judged
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contribute to the excellence of our academic community. The Division of Advancement and Alumni Engagement utilizes resources, technology, and business for the purpose of constituent engagement, donor research
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are developed and maintained. Ensures that the uses of data through reports and queries are accurate. Supports business and system re-engineering and architecture development to define future data needs. Serves
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specific department. Actively collaborates with investigators to identify and document needs and translate them into sustainable and reliable technology solutions. Designs data management solutions that may
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responsibilities as required, including special projects as assigned by directors. MINIMUM QUALIFICATIONS: Bachelor's degree in business management, applied science or a related field and two years of related
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engineering, nursing, computer science, data science, or related field Strong analytical and programming skills Excellent written and oral communication abilities Experience with one or more of: machine
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. Ensures that the uses of data through reports and queries are accurate. Supports business and system re-engineering and architecture development to define future data needs. Serves as an organizational
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practices and fill gaps in current infection prevention guidance. Projects advance transdisciplinary research incorporating human factors engineering, microbiome therapeutics, environmental microbiology, and
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of technology solutions supporting the receipt, transformation, validation and storage of data. Ensures that the uses of data through reports and queries are appropriate. Serves as an organizational consultant
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for data analysis and system control. Experience with AI or machine learning in imaging is a bonus but not required. Ph.D. in Biomedical Engineering, Optical Sciences, Bioengineering, Physics, or a related