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circuit (PIC) technologies using active solid-state materials, particularly rare-earth-doped materials, to realize high-performance classical and quantum light sources. This enables new photonic
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well‑founded analysis of, for example, computational and communication cost, convergence and performance guarantees, robustness, and the handling of uncertainty and limited resources. The area includes
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
, and high-quality post-award support. The person hired into this role will also be responsible for preparing ad hoc grant activity reports for college leadership. The position may also perform additional
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. Perform academic and industrial secondments. Contributions to teaching tasks (minimum of 10% of your four-year employment, and a maximum of 15% per year of your employment). Where to apply Website https
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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Institute of Fundamental Technological Research Polish Academy of Sciences | Poland | about 2 months ago
Engineering » Materials engineering Technology » Materials technology Physics » Surface physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Mar 2026 - 23:59
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in grant-writing and annual reports Perform other duties as assigned Minimum Qualifications: Education and Experience: PhD degree in Mathematics, Applied Mathematics, Computational Science, Statistics
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learning, data assimilation, and high-performance computation, with the constraints from the satellites observations and in-situ measurements; publish research output in academic journals and conferences
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) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research
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discovery Work closely with experts in machine learning, domain sciences, and AI Contribute to the development of interpretable and high-performing AI models Develop and train large AI models for science