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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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, consideration of urban heat island in the generation of future weather files and some experience with computer programming programs. Strong communication/interpersonal skills and an ability to work independently
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. For all posts, applicants should also: (a) be proficient with machine learning toolsets such as CUDA and PyTorch; (b) have experience with game development platforms such as Unity or Unreal Engine; (c
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status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status . Minimum Number of References Required 3 Maximum Number of References
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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approaches that address (for example) the intellectual status of the image, the political functions of art, or visual theology across multiple regions. The Mellon Fellow will teach two courses per year: one
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weather files and some experience with computer programming programs. Strong communication/interpersonal skills and an ability to work independently are essential. For further information please contact
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, engineering, finance, and health. Key Responsibilities: To perform the pioneer research in AI for climate transformation. To further develop data-driven and machine learning tasks for fighting climate changes
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work that underpins the scientific research of the collaboration. Research Title: Coupling Computation and Machine Learning to evaluate PFAS Chemicals The work will entail: The position is for a
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biological science and civilian mapping agency, USGS collects, monitors, analyzes, and provides science about natural resource conditions, issues, and problems. Research Project: Science synthesis and