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, the Library is continually evolving and enhancing its contribution to the Princeton research, teaching and learning experience. The Library actively supports today's researchers through newly designed
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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification
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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating
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. · Ability to foster collaboration and resolve conflicts across diverse stakeholder groups. · Deep understanding of business processes and IT alignment, with the ability to deliver measurable value
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quality of life, culture, and technology ecosystem If you thrive on building relationships, leading complex changes, advancing teaching and learning through technology, and helping people develop digital
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ability to collaborate effectively with colleagues in professional service Preferred Qualifications Specialization in Artificial Intelligence, Deep Learning, Large Language Models, or Data Analytics
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an online environment and five or more years of professional (industry) experience in one or more areas of expertise listed above. A deep understanding of career opportunities in the information professions
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and