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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their architectural
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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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computational innovations to enhance model efficiency, architecture, and performance. ● Collaborate on additional projects using text and vision models building on their own research interests. ● Co
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evaluation. Automate routine data management and quality assurance processes. Utilize version control and best practices for code management and documentation. Optimize computational efficiency across research
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Posting Number 26FA0840 Posting Open Date 10/02/2026 Posting Close Date 10/30/2026 Qualifications Minimum Education and Experience PhD in Ecology, Geography, Environmental Science, Biology, Computer
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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Responsibilities Lead photonic integrated circuit (PIC) design and simulation using commercial tools. Contribute to novel photonic computing architectures including optical in-memory and
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this developmental programming. Current studies focus on how bile acid signaling during early postnatal life establishes adipose tissue architecture and function, including effects on adipocyte progenitor populations
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group led by Dr. David Klinges in the Department of Ecology, Evolution & Natural Resources. Our work combines computational modeling, field studies, and laboratory experiments to understand how