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participate in the creation of next-generation drug discovery platforms for AMD. The successful applicant should have research experience in at least two of (a) deep learning and AI methods; (b) causal search
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invites applications for one full-time (1.0 FTE) research software engineer to design, develop, optimize, and deploy deep learning solutions for large-scale medical images to automate various medical
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strategies, and deep data analysis to improve the findability of content and enhance the overall digital experience for patients, providers, and researchers. Responsibilities Search Optimization · Lead
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through assigned committees. Exploration Advisors serve as curricular experts with deep knowledge of General Education and Baccalaureate Degree Requirements and will be trained on introductory coursework
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through assigned committees. Exploration Advisors serve as curricular experts with deep knowledge of General Education and Baccalaureate Degree Requirements and will be trained on introductory coursework
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communication—even when the message may be difficult to hear. This is a highly dynamic, student-centered role that requires operational sharpness, emotional composure, and a willingness to learn a deep knowledge
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culture. This tenure-track position is dedicated to advancing cancer research through expertise in cancer data science, focusing on deep learning, artificial intelligence (AI), generative AI, large language
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. Candidate should have a strong background in software development and deep experience within all SDLC processes. Candidate should have strong interpersonal and communication skills and proven experience
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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is fast-paced and spans multiple ongoing projects. We value individuals who can learn quickly, work independently, and meet project timelines when needed. Hands-on training will be provided by the PI