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actionable insights to leadership and help drive data-informed decision-making. Utilizes a broad and deep understanding of all areas of Workday Reporting & Analytics including Report Writer, Prism Analytics
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with substantial experience applying advanced AI methods to climate problems. We are particularly interested in researchers who develop or apply state-of-the-art ML/AI approaches — such as deep learning
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practitioners who integrate disciplinary expertise with a deep engagement in social and ecological concerns. The successful candidate must have a strong commitment to excellence in teaching and will be expected
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, disentanglement) Audio modeling Multimodal learning (alignment, data fusion) Statistical learning and advanced deep learning (large-scale training, generation control, self-supervised methods, and contrastive
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advising models and proactive, inclusive pedagogy. Experience in fostering collaboration and providing guidance to academic advising teams. Skills and Knowledge: Deep understanding of academic advising
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Teaching & Learning, web developers, faculty and staff responsible for digital content. Required Qualifications: Bachelors degree in Computer Science, Information Technology, or an equivalent combination
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED QUALIFICATIONS Master’s degree with quantitative focus preferred. Additional
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methodologies, including machine learning, deep learning, TinyML, federated learning, explainable AI (XAI), digital twins, and other emerging techniques relevant to the RGs. Support interdisciplinary research
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processing methodologies using Deep Learning. Technical reports. Publication of scientific contributions. Presentation of results. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep