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design. Job description In the Tera-Hertz Sensing (TS) Group at TU Delft, you will contribute to the development of THz imaging cameras fabricated in state-of-the-art silicon technology. These cameras
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, and detect spin waves. To study the spin waves and the superconductors, you will use a cryogenic, NV imaging system that combines techniques from quantum optics and quantum information processing with
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 1 day ago
characterization of these devices as well as proof-of-concept prototype electronics that will be manufactured in more traditional solid-state processes. As part of this project, you will be expected to work closely
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Postdoc Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across
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. Proficiency in programming and data analysis. Experience in imaging/microscopy is an asset. Autonomy, rigor, creativity, team spirit, and strong communication skills. Additional Information Selection process
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epigenetic processes in human cancers. We develop novel chemical probes, engineered enzymes, and synthetic chromatin platforms to dissect and manipulate chromatin-templated processes. This position aims
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the nature of turbulence and examining turbulent flow processes in different natural, industrial, and engineering environments using experimental, numerical, and theoretical approaches. Particularly, our
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of Engineering at the University of Texas at Arlington invites applications for a rank Postdoctoral status. This position will focus on analyzing imaging data, developing novel methods for analysis and integration
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analytical chemistry and mass spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A