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carry out analyses using vibrational/electronic static and transient spectroscopy • You conduct DFT calculations # Organic synthesis • You synthesize substrates • Based on our
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, the broader USC research ecosystem, and fabrication routing through the CA DREAMS Microelectronics Commons Hub. Direct involvement in a high-visibility DARPA program with clear paths to first-author
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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high-dimensional biological data. Preferred Experience developing deep learning models for multimodal biomedical data. Experience with imaging, single-cell, spatial transcriptomics, electronic health
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electron and ion dynamics subsequent to photoabsorption in atomic and molecular systems. Candidates with a background in experimental physics with an emphasis on strong field or attosecond physics and
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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Arctica electron microscope, which is being equipped with a new-generation electron detector through an ERC-funded upgrade. What are you going to do? The postdoc will work on an ERC Starting Grant-funded
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contact: Contact Name: Dr Yaling Hsiao Contact Job Title: Principal Investigator Contact Email address: [email protected] The University is committed to having a diverse and inclusive workforce
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University