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vibrational properties of 2D and quantum materials through Raman, TERS, electron transport, and SPM measurements. The ideal candidate must have a Ph.D. in physics, electrical engineering or related field with
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statistical and computational analysis Contribute to proposal writing Complete project tasks by assigned deadlines Prepare and publish in peer-reviewed journals Present at conferences Submit computational tasks
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender
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research environments, contribute to a deeper understanding of the process of high harmonic generation, and provide important tools in materials science, with application in photoemission electron microscopy
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of materials. We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced
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Learning, e.g., Human-centric Learning from Demonstrations, Shared Autonomy, etc. Robotics and automation using sustainable materials and process workflows Agentic systems for robotics and control Energy
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical