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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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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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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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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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statistical ecology Demonstrated track record in research publication Demonstrated experience with data and code management As this is a fixed-term contract, you will require current work rights in Australia
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applications. Radiation detector response measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image
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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