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, renewable for up to two additional years contingent on satisfactory performance. The start date is flexible between July 1 and September 1, 2026. Duke University offers a competitive benefits program, which
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, and use of novel architectural features. Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing and housing the Argonne
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
This postdoctoral researcher will play a key role in a theoretical and computational research program focused on axion physics and cosmic microwave background (CMB) cosmology. This research program is led by
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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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their applications. Experience in handling cells (mammalian cells, microorganisms) in microsystems. Experience in performing original research and publishing high-quality research papers. Experience in
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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., PyTorch, JAX) and model development is highly desirable. Emerging Technologies: Familiarity with Agentic toolkits (e.g., LangChain, AutoGen), LLM deployment, or RAG pipelines. High Performance Computing
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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transit as well as Gaia/LSST discoveries. Indiana University also provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization