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, data acquisition hardware. Data Acquisition: Execute complex experiments involving high-bandwidth electrical measurements and advanced microscopy imaging (i.e., AFM and SEM) Signal Processing: Develop
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image processing, control systems, machin e learning, electromagnetics, remote sensing, microwaves, optics and photonics, nanotechnology and electronic materials, robotics, intelligent transportation
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interested in this position, please visit: https://recruit.ucanr.edu/ and choose “applicants†(refer to position #25-38). An in-person finalist interview may be required as part of the search process
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that the toxin induces DNA damage responses in cultured cells that activates a senescence tumour suppressor mechanism (https://doi.org/10.1038/s41467-019-12064-1). Cells undergoing toxin-induced senescence undergo
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
patients as well as publicly available data repositories. The goal will be to make fundamental biological discoveries that can ultimately be translated to understanding, prevent, and treat heritable
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of nanomechanical resonators using COMSOL and MEEP Development and operation of laser-interferometric setups under ultra-high vacuum (UHV) and cryogenic conditions for the characterization of nanomechanical
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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network