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equity for youth of color and their families using community engaged practices. The CHANGE lab, which is housed in the IHESJR, has areas of focus ranging across individual, community, and structural levels
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management, legal or financial planning field including gift planning responsibilities in a higher education context; ability to manage a development program and team across a complex structure. Demonstrated
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systems, including data protection, model security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization
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to bring meaningful improvement to patients’ lives. Responsibilities The Medical Affairs fellowship at Zevra Therapeutics provides fellows with a comprehensive introduction to the structure, responsibilities
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the entire process and all the codes generated and maintaining structured and regular commits in a GitHub repository. Helped implement machine learning models and automate the processing of input data. Write
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and data product capabilities using Snowflake Cortex, Snowpark, vectorized storage, and machine-learning features. The developer will work across legacy data structures (Banner, Workday, Salesforce
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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start
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technologies if needed); and structuring marketing and communications work to best achieve institutional priorities and enrollment goals. The Associate Director is responsible for all e-mail, web-based, and
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, empirical and structure-based target design, synthetic chemistry and troubleshooting. Our main focuses are to improve the potency/efficacy and physicochemical as well as pharmacokinetics properties of the hit
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documents. Global Labeling Gain in-depth knowledge of labeling regulations regarding Company Core Data Sheet (CCDS), US Package Insert (USPI), Summary of Product Characteristics (SmPC), and Structured Product