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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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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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research program. The research is expected to be in one of several broad areas: statistical machine learning, statistical problems in AI, large language models, etc. Successful candidates will prepare and
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The School of Social and Behavioral Sciences (SSBS) at Arizona State University (ASU) invites applications for a postdoctoral research scholar with interests in Natural Language Processing and/or
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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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. 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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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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. 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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-Year Scholar Program participants. DEPARTMENT SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES*: ¿ Familiarity with IRB processes and ethical conduct in human subject¿s research ¿ Proficiency in biomedical