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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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to build partnerships with IT and cross-departmental business leaders. Deep commitment to continuous learning, innovation, and change management. Working Conditions Hybrid, onsite and remote. Application
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corporations and foundations and trends that can lead to larger philanthropic commitments in support of Baylor's key initiatives Develop a broad and deep understanding of current fundraising priorities across
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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and human society. Funded by the Henry Luce Foundation and drawing on the resources and opportunities afforded by Indiana University (IU), the CRH offers a deep roster of workshops, exhibits, public
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-driven commercial contexts—is a key part of the role. The post-holder has a doctoral degree in Design, Materials Design, Materials Research or a related field, demonstrating deep and rigorous understanding
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these approaches in radiation therapy