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(CPU/GPU), numerical modeling/Monte Carlo simulations are an asset Visualisation skills are an asset Careful way of working, checking of results Candidates can have an M.Sc. degree in STEM, or a Ph.D
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, at the phonetic, lexical and syntactic levels. The candidates will develop theoretical models of network of single neurons, using dynamical systems theory and simulations. The models will be fit to single-cell
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related research directions in the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural
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. The impact of your work will be significant: the curated dataset will be published, making it accessible to the international research community for further analysis and for model intercomparison studies
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efficiency or reducing embodied carbon. We invite candidates to propose research projects that focus on developing innovative methods, digital tools and advanced computational models - leveraging AI, machine