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Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Materials Science & Engineering Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job
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the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery. The position
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19 Sep 2026 Job Information Organisation/Company CNRS Department Propagation des Ondes : Etude Mathématique et Simulation Research Field Engineering Physics » Acoustics Engineering » Materials
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Requisition Id 16930 Overview: We are seeking a Postdoctoral Research Associate to advance the scientific validation of quantum simulations for quantum materials. This work directly supports the
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position within a Research Infrastructure? No Offer Description We are looking for highly motivated Postdoctoral Researchers in Battery Modelling and Multiphysics Simulation to develop a modelling framework
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of ageing and degradation mechanisms under simulated space environments. Assessment of material behaviour under thermal cycling, vacuum, radiation and other relevant environmental conditions. Correlation
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 15 hours ago
Materials. The learning objectives for this project are: (1) use atomistic simulation software and AI/ML techniques on sensing materials database development, (2) analyze the modeling results, and (3) learn
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. Work will include designing and implementing mixed-method studies with human participants; collecting person-level sensor/simulator and field data; analyzing repeated-measures and multimodal behavioral
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Directorate at Oak Ridge National Laboratory (ORNL). The NEEM Group focuses on pushing the limitations of materials, sensors, and experiments through technology development, advanced instrumentation
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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence