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Field
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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
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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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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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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dynamics). Open, Reproducible Science Write clean, documented code; use version control (Git); build reproducible experiments. Prepare datasets and analysis outputs for publication and sharing (data
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it when applying. Candidates who advance to later stages of the process may also be asked to complete a coding exercise and provide contact information for a reference who can speak to their research
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affected families, or other similar marginalised groups Skills and attributes Ability to conduct qualitative research to a high standard, including data collection, developing an analytical approach, coding
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interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a
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interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated, adaptable, and a
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2026-0100 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete