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Field
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Excellent communication and writing skills Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Experience handling very large datasets Knowledge of R and Python, and
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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
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analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
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processes for recurring reporting tasks, using tools such as R, Python, or STATA. Create and manage data sets from multiple internal and external data sources, pertaining to faculty, students, and staff
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degree or equivalent experience in computing related disciplines; Extensive skills in programming in C, C++, Python, DL/ML/AI frameworks, CI/CD tools, version control systems, and Linux (kernels, file
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enrich the future. Responsibilities* The Bioinformatician-Computational Biologist Associate will provide essential technical, computational, and administrative support for multiple research projects in
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python or other available tools with an interest in
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applications for a postdoctoral or more senior researcher to conduct spatial quantitative research on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects