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. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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for education and professional development opportunities. Description Fellowship Activities The U.S. Department of Energy (DOE) Science, Technology, and Policy Program is designed to provide opportunities
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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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Research Associate/Post-Doctoral Fellow - Institute for Research on the African Diaspora in the Amer
activities related to IRADAC and to the Ph.D. program of his/her own discipline. We welcome applications from disciplines within the humanities and social sciences, including Anthropology, Education, English
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global network university
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In