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the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL). This team serves as the foundation for effective machine learning—building, curating
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, to advance the technical readiness level of liquid metals for next-generation fusion reactors. Learn more about the research groups here: Prof. Xing Wang’s research group: https://sites.psu.edu/rdmap
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. The successful candidate will work under the supervision of Prof. Colin Zarzycki and collaborate closely with partners at the NSF National Center for Atmospheric Research (NCAR). The postdoc will play a central
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- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design
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Communications. This position serves as the primary sport contact for the men's basketball program and as well as providing guidance/strategic supervisory staff support for an additional sport. Penn State is
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production environments Manage continuous integration and delivery pipeline to maximize efficiency Improving systems through updates and optimizations using various technologies Present program overviews
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Manage continuous integration and delivery pipeline to maximize efficiency Improving systems through updates and optimizations using various technologies Present program overviews, proposals, and technical
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- and program-level marketing. Experience with Salesforce Marketing Cloud and CRM integration. We encourage candidates to apply even if they do not meet every preferred qualification. If your experience
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point of contact between the data curation team and research scientists, algorithm developers, and program stakeholders to translate data needs into actionable plans Present findings, status, and
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the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL). This team serves as the foundation for effective machine learning—building, curating