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fellow will report to Prof. Taylor Woehl, the PI of this group. This position will be the primary experimentalist on a project aiming to image chemical and microstructural transformations during
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. Ability to automate processes using programming/scripting languages, Windows PowerShell, .NET, and Batch. Advanced knowledge in Windows Server and Workstation, SCCM, Intune, MDT, imaging, and Group Policy
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implementing changes in complex IT systems. Experience with configuration management and infrastructure as code tools such as Ansible, Terraform, Chef or Puppet. Experience with the software development
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of additional techniques in our research portfolio. Areas of expertise include but are not limited to: Microwave remote sensing including synthetic aperture radar; Hyperspectral imaging; Thermal remote sensing
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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cloud-based platform or software offerings to meet identified functional requirements. Experience delivering solutions for U.S. Government and contractor customers. Experience using Infrastructure-as-Code
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. Knowledge of national, state and local codes and regulations applicable to the design and construction of facilities. Experience leading the selection of design teams, Design/Build teams and construction
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to include responsibilities for opening, closing, securing, monitoring, and auditing such facilities. Knowledge and experience using 32 Code of Federal Regulation (CFR) Part 117, NISPOM Familiarity and/or
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the work of others on the project. Mentor students and faculty specialists Lead data analysis Draft reports/deliverables Administer pilot studies and prototype development Primary author/presenter
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construction drawings and specifications for constructability. Knowledge of national, state and local codes and regulations applicable to the design and construction of facilities. Ability to function in a team