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Field
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
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) and statistical genetics (GWAS, PRS, etc.) and related tools (e.g., PLINK). Experience with either 3D image processing (e.g., brain PET and MRI analysis) or statistical genomics (GWAS, PRS calculation
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resolution. As part of the Department of Bionanoscience and the Kavli Institute of Nanoscience, we enjoy access to state-of-the-art infrastructure for biochemistry, molecular imaging, cryoEM/ET and high
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implementing BCDI, XPCS, nano-beam and time resolved microscopy, PDF, 3D imaging techniques, PCI, and other techniques for advanced characterization of materials across solid-liquid and into melt. Measurements
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas hydrate reservoir. Learning opportunities will be given on the area of laboratory
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 5 hours ago
migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas
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expertise in working with adipose tissue expertise with 3D culture models experience with cell culture general expertise in gene editing and CRISPR-Cas 9 technology Expertise in bioinformatics. the ability
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morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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Researcher in Perovskite Solar Cell Research who has: a PhD (or near completion) in physics, chemistry, photovoltaics, materials science or related science or engineering subjects experience with 3D, 2D, lead