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Field
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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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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Conduct
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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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the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity
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background in coding. • Ability to work effectively with a diverse team from multiple disciplines. • Strong communication skills. • Enthusiasm for leading experiments with human subjects. Preferred
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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modeling expertise, including code development experience related to one or more of the following: 1) Flow and reactive transport in fractured porous media 2) Geomechanics and fracture propagation in
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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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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