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or spike correlation patterns limited to local neural circuits or span across brain regions? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing
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-functional teams, conduct code reviews, and provide guidance on software design and best practices. Develop and implement advanced AI/ML models, including deep neural networks, transformers, LLM-based systems
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techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks
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, to how epigenetics regulates cellular identity or neural memory. Activities and responsibilities The research group of Dorothee Dormann offers the following PhD project: In the Dormann lab, we study how
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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for biomolecule design and characterization Improving reliability and generalization of deep neural networks Neural rendering for real-time organ reconstruction Surgical video analysis Internet Technology and
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and responsibilities The Project Expert performing as Senior AI Solutions Developerwill: Develop and implement advanced AI models, including deep neural networks, transformers, LLM-based systems
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-atlantique.fr) and Associate Prof. Christophe LOHR Keywords: Conversational Agent, Debate, Argumentation, Knowledge graph, Generative Neural Networks, Mental health preservation Where to apply Website https
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential