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at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g. surveillance
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) software application primarily supported by the UIS eRA team and the Grants suite of modules from PeopleSoft Financials and Supply Chain system supported primarily by the UIS Grants team. The Principal
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
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machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain
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on different aspects of programming language design, program verification and software engineering. Beyond technical collaborations, the group meets regularly and provides an engaging and supportive environment
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. Solid experience with qualitative and/or quantitative (at least one; both preferred) data analysis, including sufficient knowledge in statistical tools and software. Strong scientific manuscript writing
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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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changing needs Preferred Qualifications Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
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-resolution microscopy, and in situ neutron or X-ray scattering and tomography methods. Strong background in computational and image-processing software, scientific programming, and high-performance computing
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chapters/directed lecture materials, and development of software tools for numerical analysis based prediction and comparisons for verification and validation (30%); and -other related duties as assigned (10