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in computational research Comprehensive understanding of quantum mechanics and electronic structure theory is critical Experience with CFD (e.g., the use of OpenFoam or ALDFoam) and microkinetic
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. Experience using analytical tools, such as particle size analyzer, X-Ray diffraction, electron microscopy (SEM and TEM), spectroscopy (FTIR and Raman), surface area analysis, and electrochemical (EIS and RDE
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for holotomography and to perform dynamic experiments using the Projection X-ray Microscope (PXM) instrument for studying microelectronics. As part of a collaborative team, the successful candidate will participate in
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the electronic, magnetic, and optical properties of 2D materials at ultrafast timescales, which holds promises for developing new energy technologies. The candidate is responsible for conceiving, planning, and
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detector projects at Jefferson Lab and towards the Electron-Ion Collider, with some flexibility to pursue your own research interests. We seek candidates with a background in experimental nuclear or high
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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. High-resolution tomographic measurements at a synchrotron facility aim to complement electron microscopy measurements. Research will be conducted at 2-BM, a fast micro-tomography beamline. Achieving sub
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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such as microelectronics and self-assembly of nanocomposites. Therefore, we seek highly motivated candidates to drive the project independently while interacting closely with senior members of the research
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completed. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow, PyTorch, JAX etc. Experience