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Field
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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– AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal with synthetic content. This project investigates how
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are you going to do Adolescents heavily use synthetic content – AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal
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of the levitating sample and a speed of data acquisition • Studying the effect of DC magnetic field of 1T on the oscillation of the droplet using images of the droplet registered with a high-speed camera
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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identifying real households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models
-
households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data