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therapeutic approach for B-cell lymphoma based on targeting the IGH enhancer RNA. To this end, we will conduct a high-throughput screening for small molecules binding to the eRNA transcribed from the essential
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high
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: Conduct research and develop next-generation CFD methods (with finite volume and finite element techniques) and models for a variety of nuclear energy systems, using world-leading high-performance computing
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Description of the workplace The position is located at the Division of Heat Transfer at the Department of Energy Sciences. At the division, we conduct research and education on the energy
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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Simulation,Nuclear Physics,High Energy Physics,Atomic Physics,Nuclear Energy For more information, please refer to the following webpage: https://www.nishina.riken.jp/labo/accel_e.html * details
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multiple institutions to collaboratively support scientific advances guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 12 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP-2026-Gao How to Apply A complete application consists of: An application, including academic history, work history
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the Building Equipment Research Group in the Buildings and Transportation Science Division in the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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and industrial processes into material and energy balances, reagent requirements, process yields, transportation requirements, waste streams, and operating assumptions; and implement these data and