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collecting, organizing, and analyzing data • Proficiency in computer software (i.e. Microsoft Office) • Strong knowledge of laboratory workflows, equipment, and compliance requirements
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to obtain additional information and suggests revisions in treatment. Participates in quality and safety improvement activities. Orients, instructs, and directs work activities for assistants and support
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, teaching/directing a small or large ensemble. Review of applications will begin immediately and will continue until the position is filled. Applications on or before September 15, 2024 will receive full
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learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG
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leverage large-scale advertising and media messaging datasets and is ideal for individuals with strong backgrounds in Computer Science, Data Science, Machine Learning, Communication Science, Psychology
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enterprise and drive critical business initiatives through analysis and communication of data. This role participates throughout the initiative lifecycle – including idea generation, initiative scoping
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develop end products Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff. Requests or acquires equipment and supplies for assigned project(s
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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, management, and analysis of large amounts of genotypic and phenotypic data. Further, the Biostatistician 2 serves as liaison between the more junior Biostatisticians of the department and the research
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Develop/use various machine learning and data mining models including convolutional neural networks (CNNs) Transformers, large language models (LLMs), and Vision Language Models (VLMs) Analyze electronics