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. Neural information coding for efficient spikebased image denoising. Technical Report arXiv:2305.11898, arXiv, May 2023a. URL http: //arxiv.org/abs/2305.11898. arXiv:2305.11898 [cs] type: article. A
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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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Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen and valued, our recruitment process at UC Davis supports openness and
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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) within the scope of the project “HUMYK - Autonomous Community Composter", with operation code CENTRO2030-FEDER-01180100 (Nº 17322), co-financed by Centro 2030 Regional Program, Portugal 2030 and the
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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. Experience with control and synchronization of high-speed imaging and lighting systems. Experience with image post-processing and data extraction. Personal characteristics To complete a doctoral degree (PhD
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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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modality for single-molecule localization. The main responsibilities will include: -designing and developing the optical instrumentation, -adapting and extending existing image and data processing tools