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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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of innovation. Apply through the IAAM R&D World Program, Apply Online before 30 November 2025. About IAAM The International Association of Advanced Materials (IAAM) is a non-profit scientific organization
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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, and associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project
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with scientists at the Malawi-Liverpool-Wellcome Clinical Research Program in Blantyre, Malawi to investigate viral genomic and transcriptomic profiles in infected alveolar macrophages and how
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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distributions, cloud microphysical properties and processes, dust aerosol distributions and impacts, and atmospheric boundary layer (ABL) structure and dynamics. In recent years, we have focused on advancing
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the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This