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2026 Interviews: TBC (online) Start date: September 2026 Project Title: AI-Enhanced Battery State of Health Estimation Using Ring Probabilistic Logic Neural Networks Director of Studies: Prof Shahab
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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) relationship with the low-fidelity response. Extensions include nonlinear information fusion with GPs, Bayesian multi-fidelity inference and deep probabilistic surrogates, as well as MF neural networks
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 19 days ago
Academy of Sciences (OeAW), Austria’s leading non-university research and science institution, is offering a Position as Praedoc (Diss) (f/m/x) in Mathematics of Neural Networks and Neural Operators part
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have become a major challenge for understanding, recording, and modulating neuronal network activity, ranging from in vitro cellular models to implantable neurotechnological applications. In the long
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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molecular and cellular processes and neural networks to complex patterns of perception, action and memory in humans and animals. In line with Leibniz’ maxim “Theoria cum Praxi” LIN is committed to fundamental
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project), create a unique opportunity to apply machine learning and neural network methodologies, in conjunction with simplified ice sheet models, to advance understanding of ice sheet basal processes and
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Training and deployment of Spiking Neural Networks And will allow you to develop competences in Tactile Perception Spiking Neural Networks ESSENTIAL REQUIREMENTS To be registered as a student in an
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both