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applications for a postdoctoral scholar to commence work in Spring 2025. The scholar will work on game-changing low-cost and high-throughput ground testing for rapid and accurate materials testing in a close-to
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-Doctoral Associate will be responsible for the formulation development and characterization, in vitro and in vivo performance testing deliverables for drug candidates in early and later stages of clinical
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
of responsibility are: 1. Barrel Hadron Calorimeter Group : This includes work on the UNH test stand and commissioning of the detector, encompassing both simulation and hardware development. 2. Polarized Deuteron
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: Responsibilities *Explore, collect, and preprocess various sources to develop domain LLM training and test datasets *Design and implement fine tuning and RAG workflows for LLMs on a variety of datasets *Maintain
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, mentoring students, and contributing to interdisciplinary collaborations in advanced sensing and materials testing. Responsibilities Conduct original research in advanced nondestructive evaluation (NDE
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materials at ORNL’s Irradiated Material Examination and Testing (IMET) facility and Low Activation Materials Development and Analysis (LAMDA) Laboratory. Candidate is expected to bridge x-ray or neutron
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strategy will be used to design an optimum test matrix. This framework will enable modeling and predicting ion-irradiated mechanical properties using reduced test data, thereby accelerating the development
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independently associated with different projects related to non-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need
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work will focus on problems in controls, machine learning, image reconstruction, wavefront sensing, and instrument development and test. As time permits, you will be encouraged to conduct your own
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing