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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms
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Requisition Id 16869 Overview: We are seeking a Postdoctoral Research Associate to use advanced scanning probe microscopy for the development and application of multiscale excitonic probes. In
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clear conclusions. An understanding of RF sensing theory. Proficiency in RF collection system design, assembly, and deployment. Proficiency in Python, MATLAB, or equivalent software programming language
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, OpenMC, and/or MOOSE and familiarity with reactor systems and concepts. Programming/scripting experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake an asset. Demonstrated
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++, Python, Fortran, Git, and CMake an asset. Demonstrated writing and communication skills and ability to publish. Preferred Qualifications: Experience with Multiphysics software and simulations an asset
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and maintain Python scripts, Arcade expressions, attribute rules, and automated processes (including batch scripts and Windows Task Scheduler jobs). Publish and manage map, feature, image, geoprocessing
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machine tool research. Coordinate and lead multidisciplinary teams of researchers, technical staff, postdoctoral researchers, students, and external collaborators to achieve project objectives. Communicate
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Enterprise Linux (RHEL) or Ubuntu, across physical and virtual environments and multiple security domains. Lead automation and infrastructure modernization using Ansible, Python, Bash, Git, and infrastructure
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engineering and analysis to define hardware, software, storage, networking, and integration requirements. Develop prototypes, automation, scripts, and engineering solutions using technologies such as Python
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and GitOps workflows, Puppet, Go, Python, Bash, and GitLab CI. Establish and promote reusable automation patterns, configuration standards, and engineering practices for operating Kubernetes clusters