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Field
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SPECIFICS The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design automation
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industrial automation, manufacturing systems, data acquisition, or related technologies is a plus. Strong quantitative, computational, and analytical skills and the ability to learn and apply new modeling and
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monitoring service, including automated update workflows and a user-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms
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theory Familiarity with code development for Software Defined Radio systems and suitable programming environments (e.g., Python, APIs, automation frameworks, Jupyter, etc.). Experience in program
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within CQTS. The central responsibility of the position is instrument building: conceiving, prototyping, assembling, integrating, calibrating, automating, and troubleshooting custom experimental systems
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to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention. Intelligent and automated selection and composition of data and storage service capabilities and
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Laboratory (HTMR) at Mohammed VI Polytechnic University (UM6P) is a state-of-the-art research facility dedicated to accelerating scientific discovery through automation, digitalization, and high-throughput
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focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic
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research facility dedicated to accelerating scientific discovery through automation, digitalization, and high-throughput experimentation. By integrating advanced robotics, intelligent workflows, and
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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale