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. Research Interests: Artificial intelligence, applied machine learning, natural language processing, text mining, image processing, computer vision, sensor data processing, information retrieval and their
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transitioning military members to apply. You will: Plan and direct research multiple large antenna development projects involving developing novel antenna designs, evaluation of antenna designs using
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researching and ordering of wafers and other supplies, tracking wafer inventory. Education and Experience: Experience in process development and troubleshooting, device layout software, computer programming and
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willingness to learn and develop computer skills (i.e., Microsoft Word, Excel, PowerPoint and other programs). In addition, successful candidates must either have demonstrated a commitment to building an
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, Git, open source scientific computation, computer vision, modeling, or machine learning tools Demonstrated experience integrating research software into operational environments related to, Data
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. is preferred . Required skills/experience includes: Two or more of the following: Java, C++, or Python, Git, open source scientific computation, computer vision, modeling, or machine learning tools
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from national parks across the United States. There will be opportunities for projects in machine learning, AI, ecology, social science, and more if interested. The lab is willing to supply data
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will be offered during the day, evening, and on weekends at the campus in DuBois or at selected off-campus locations. Instructors are needed to teach within the following program areas: Workforce
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. Government and Industry sponsors. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. In this position, you will support and conduct basic and applied
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, phenotypic and genotypic characterization of bacteria in axenic conditions or in association with eukaryotic host cells. Preservation of experimental data, including computer archiving of raw data and