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National Lab's (LBNL ) Molecular Foundry Division has an opening for a Postdoc -- AI-Enhanced Soft X-ray Spectroscopy for Microelectronics. This position will lead soft x-ray spectroscopy and scattering
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microelectronics project. To learn more: Argonne to lead two microelectronics research projects under U.S. Department of Energy initiative | Argonne National Laboratory Position Requirements Recent or soon-to-be
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
length/time scales, to provide improved mechanistic insights into nanomaterials response. Bulk of the work will be on novel materials for next-generation microelectronic devices (e.g. oxide ferroelectrics
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&neck cancer. Together with our PhDs, technicians and supervisors, you will build several prototypes of both of these ultrasound devices, connect the electronics, perform the experiments, and further
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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technological research clusters in the fields of materials and nanomaterials, biotechnology, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs
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Qualifications Excellent written and spoken English communication skills. A PhD degree in integrated photonics, optical computing, optical signal processing, or a closely related discipline. Desired Qualifications
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polarimetry for the metrology in microelectronics, studies of nanomaterials, and optical diagnosis of various biological tissue including plants. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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nanoelectronics, microelectronics, semiconductor devices and VLSI technology. You should hold or be nearing completion of a PhD and have strong ability in either electrical and electronic engineering, physics
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Expected skills: • Microelectronic technologies (lithography, etching, material deposition, etc.) • Deposition of sensitive materials (superconductors, metal-insulator transitions, oxides, etc.) • Experience