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literature, particularly STEM education. PhD or terminal degree in a STEM field. Talking with instructors, about teaching and learning and/or DEIB issues. Leading interactive and discussion-based sessions
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(YCMD) is small molecule and functional genomics high throughput screening core facility. YCMD serves an entire Yale research community to support identification of novel targets and help advance deep
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to constituents at Yale. Develop and maintain a deep understanding of the work and priorities of Yale faculty, the university’s policies, and historical context related to a program or activity. 7. Develop and
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team has a strong focus on machine learning and interpretable deep learning. However, more theoretically oriented candidates, interested in developing mathematical and mechanistic models of the immune
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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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settings You are comfortable in a multi-project lab with a dynamic young international environment YOUR MISSION Development in close collaboration with research staff working on cutting-edge deep learning
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: The successful candidates are expected to work on the development and application of bioinformatic (integrative multi-omic methods) and/or computational mass spectrometry workflows (machine- and deep-learning