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Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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Postdoctoral Associate Position on Blockchain and Machine Learning in the Dr. Kuo Lab at Biomedical Informatics and Data Science, Yale University New Haven, Connecticut (USA) About the postdoctoral
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Posting Date: 11/01/2024 Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job
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the Pytorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu. More information of the
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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methylation sequencing, single cell DNA methylation, and single cell transcriptome • Perform machine learning/deep learning analyses; and delivering analytical results. • Develop workflows for multiple
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. Fluency in Japanese is an important advantage, but applications are also encouraged from candidates with complementary technical expertise and a strong interest in learning about Japanese history
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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural