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Field
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Sujet de stage This postdoc aims to enhance PULSE, a generative (VAE) method revolutionizing predictions for disordered materials. You'll improve its accuracy, uncertainty quantification, and transition
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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physics Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 30 Nov 2026 - 16:06 (UTC) Country France Type of Contract
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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University. The Department of Business Administration may offer the possibility to teach and supervise. In such case, the postdoc would be employed on a fixed-term appointment and would be compensated
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processes, the foundations of deep learning. Experience coding with deep learning libraries such as Pytorch/JAX is essential. Fluent written and spoken English skills as well as contributions to the group
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funding to hire a postdoc within the DOE CMEI Durable Module Materials Program (DuraMat) to analyze degradation pathways of solar photovoltaic modules extracted from the scientific literature. The group has
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for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal deep learning, and its extensions for these additional targets. In particular, we have a large collection of
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is