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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most promising candidates for this goal, combining fast electrical control, compact device geometry, and...
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of nanoscale features on chips, ensuring that critical dimensions and overlay accuracy meet the tolerances required for functional devices. As transistor geometries continue to shrink, the performance of optical
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learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
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monitoring and bioelectronic medicine. The project builds on the lab's track record in flexible sensor arrays, field-effect-transistor biosensors, and functional nanomaterial interfaces, and will contribute
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) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level
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fabrication and integration technologies * GAA: Gate-All-Around, CFET: Complementary Field-Effect Transistors https://www.nims.go.jp/group/semidev/index_en.html Qualifications/Requirements: Possess a Ph.D
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-dimensional materials. I am interested in creating a low-power topological transistor, in which an electric field can switch a material from a conventional insulator (“off”) to a topological insulator (“on