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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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/wireless/wireline systems, imagers, MEMS, medical/display circuits, power management, 2.5D/3D integrated circuits, and secure computing designs. Successful applicants will be expected to develop
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. · Advanced Materials, Nanoelectronics, and Emerging Devices – 2D materials, spintronics, MEMS/NEMS, and flexible electronics. The successful candidate will have the opportunity to build upon existing
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methods and results. Experience handling hundreds-to-thousands of samples at once from different batches and how to deal with potential derived artifacts, and expertise with BWA-MEM, GTAK. Experience with
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investigators and external customers are engaged in, including MEMS, BioMEMS, microfluidic, and semiconductor devices. Responsibilities: Developing suitable recipes to achieve optimum results from the process
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governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal (https://motrpac-data.org ), you will help push the
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modelling and simulation, Advanced manufacturing, Additive manufacturing, Aerospace structures, Mechanics of materials, Structural mechanics, Fracture mechanics, Nanomechanics, MEMS and NEMS, Computational
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Transducers Enable Chemical Composition and Thermal Conductivity Measurements at the Nanoscale. Nano Letters, 2017. http://pubs.acs.org/doi/abs/10.1021/acs.nanolett.7b02404 Roxworthy BJ, Aksyuk VA
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, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job