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control data sets Knowledge of FAIR (Findable, Accessible, Interoperable, Reusable) data principles Background with cloud data platforms (AWS, AZure, GCP) or big data technologies (Spark, Hadoop) Experience
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recording and large media files, please provide a working URL. Additional Required Documents (upload the following in the “Additional Documents” section) • Teaching philosophy statement. • Contact
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, and students to explore and apply generative AI in teaching, research, and innovation. This role offers hands-on experience with applied data science, generative AI tools, and large language models
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data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we: provide advanced computational resources and services to support Purdue
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consultative partner, enabling researchers to leverage large-scale computing systems and tools to explore the most challenging questions in science and engineering Use creativity and innovation to develop
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responsibilities of the ASC, including facilitating learning in one-on-one (consultations and supervision meetings), small group (trainings and committee meetings), large group (workshops and trainings), and passive
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audiology/auditory neuroscience and data analytics and collect, curate, and analyze standardized and advanced audiological assessments on a large and diverse population, including those with normal hearing
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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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University, Big Ten Conference, and the NCAA applicable rules policies, procedures, rules and regulations Who We Are: Purdue is a community built on collaboration, with global perspectives, Boilermaker pride
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-knit community that values shared experiences, global perspectives, and the drive to solve big challenges. Our work environment fosters continuous growth—offering endless opportunities to learn and make