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team, where PhD students and postdocs work alongside senior scientists to shape the future of photonics. The Integrated Solid-State Photonics Lab is a newly established research group within
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carbide ceramics. This project is a close collaboration between the Smart Materials Processing and Architectured Materials groups of the laboratory and focuses on the design, fabrication and
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. Materials should be sent to schwang@alumni.itp.ac.cn. Contact: Shao-Jiang Wang IV. Biophysics Group Recruit Information Our group focus on two research fields: 1. The dynamics of cell state transitions in
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
Research area and project description Applications are invited for a postdoc position at the Center for Quantitative Genetics and Genomics, Aarhus University, starting from 1st October 2026 or as
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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Research area and project description Applications are invited for a postdoc position at the Center for Quantitative Genetics and Genomics, Aarhus University, starting from 1st October 2026 or as
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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the use of multimodal large language models and fuzzing for metamorphic security testing. The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli, and will report to
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position. This position is designed for a researcher who sits at the intersection of theoretical and exepriemental physics. The successful candidate will lead the architectural design/modeling/simulation
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics