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Field
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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
Acceptable Education & Experience: A Ph.D. in Applied Mathematics, Physics, Mechanical/Aerospace Engineering, or Atmospheric or Oceanic Science, with a focus on Fluid Dynamics Experience in high-performance
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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interdisciplinary teams across engineering, computer science, education, social sciences, and health-related fields Publish research in high-impact venues and present findings at academic and industry conferences
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio
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). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational Science
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Qualifications: Experience with multimodal AI, large language models (LLMs), or retrieval-augmented systems Familiarity with high-performance computing (HPC) and distributed training environments Experience with
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& Computational Analysis: The Postdoctoral Associate will contribute to the design and execution of analyses addressing cancer disparities using complex, high-dimensional data. This includes implementing advanced