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Interest in RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent
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and data will be lost. Posting Summary Logo Posting Number RTF00167PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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project. Special Instructions to Applicants: This is a time-limited position and all applicants MMUST apply through Careers at UF at https://jobs.ufl.edu/. Search for posting #541500. In order to be
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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RNA biology, alternative splicing and computational method development Strong motivation for scientific research, curiosity, and a proactive attitude towards learning new methods Excellent presentation
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processing conditions Apply data-driven and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability
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transformative potential in medicine, biotechnology, and the life sciences. We seek outstanding candidates with an innovative and impactful research program integrating deep learning and AI-driven
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Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en
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Heinrich Heine University Düsseldorf | Düsseldorf, Nordrhein-Westfalen | Germany | about 13 hours ago
leading expert on the development of a human brain atlas at microscopical scale. She has applied deep learning, image analysis and advanced computing to develop the Julich Brain atlas and BigBrain, which