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, or health psychology or closely related field is preferred. As appropriate, psychology licensure required. Successful applicants will have work experience and college teaching experience in a large, diverse
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including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language
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systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven solutions, focusing on building
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the prompts and interactions that power the university's large language model (LLM) applications across service desk automation, administrative assistance, and other AI-driven services. This role is critical in
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to those experienced in teaching in K-12 classrooms as well as large and diverse groups of students. Documents to Submit: Cover letter and CV. Please clearly indicate in your cover letter the academic area(s
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management function within the organization. This strategic leadership role ensures that the organization's contract policies and processes align with its overall objectives, while managing a large team of
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of Neurobiology. In particular, the Research Assistant will perform experiments in behavioral neurobiology using established procedures and further developing existing protocols; collect and analyze large data sets
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products and platforms. Deep understanding of modern software development practices, including agile methodologies. Expertise in big data technologies, cloud computing, and AI/ML solutions. Skills: Strong
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. The ideal candidate is a data-driven leader who can blend business acumen, process redesign, and technology enablement with a collaborative open communication style to scale our finance operations in a high
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generate, maintain, and supervise the writing of technical user guides for all technology available in the Makerspaces. They will maintain and supervise the integration of this technical information