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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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OpenDP’s goals and vision. OpenDP is a community effort to build trustworthy, open-source software tools for statistical analysis of sensitive private data. These tools, which we call OpenDP, offer
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observational studies using the James Webb Space Telescope (JWST). The successful candidate will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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Buddhist “ministry” (referred to as Dharma “teaching” colloquially among Buddhists) using a constructivist grounded theory approach, semi-structured interviews, and a public scholarship component resulting
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Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks
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Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks
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Description The core mission of the Center for Race, Inequality and Social Equity Studies (CRISES) is the scholarly analysis of contemporary ethno-racial inequality, especially as articulated with class-based
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data