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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 communities
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the Postdoctoral Appointee's research. Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant
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for grid resilience assessments, such as NERC CIP standards, as well as equity frameworks and methodologies. Experience working collaboratively in version control systems for source code management such as
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 369189 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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the Postdoctoral Appointees research. Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant
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of the new methods. Draft articles describing new AI based methods for publication in peer reviewed journals. Programming: 30% Create a well-documented code to form the basis for future operational models
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. Use of radiation transport codes, especially MCNP, Serpent, OpenMC, or an equivalent code. Experience with uncertainty quantification methods. Experience with computer programming (Python, C
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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/Certifications Job Duties: Conduct experiments, gather data, document research notes, code and analyze data, interpret data Prepare manuscripts for publications in a timely manner and talks and posters