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, contributing to open and reproducible workflows (code, metadata and documentation) in line with project and UKRI expectations. Prepare research outputs including papers, conference presentations and
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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design, interpret results and perform model validation. Contribute to reproducible modelling workflows (version control, documentation, shareable code and outputs) and participate in production of open
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0133 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2026-0010 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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-coding RNAs in neurophysiology and neurodevelopmental disorders. Basic Qualifications Applicants must have recently obtained a Ph.D. in a relevant field and demonstrated research productivity through peer