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at UCC. The postdoc will be based in the UCC School of Mathematical Sciences. The aim of the project is to develop new mathematical techniques for the analysis of nonlinear phenomena in dynamical networks
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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to ethical and reproducible research. Relevant experience may include network measurement, mobile systems, browser instrumentation, distributed experimentation, statistical analysis, causal inference, large
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, we use a network-science lens and implementation science approaches in our work. Postdoctoral Associate will be involved with data collection, secondary data analysis, the preparation of manuscripts
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Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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, or chaotic neural networks. Experience with network dynamics. Experience with time-series analysis. Experience with stochastic processes. Experience with computational modeling of biological systems
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disease-relevant models to define how dysregulated stress-response networks, kinases and ubiquitin ligases shape tumor behavior, tumor-stromal interaction and treatment response. Current efforts focus
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information. Yuya also organises a cross-departmental network of extracellular vesicle researchers at Aarhus University, EVAnet (http://mbg.au.dk/evanet/ ). What we offer The department offers: A well-developed
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. The analysis will involve validating adapted scale measures, descriptive reporting with good graphics, multilevel modelling and mediation analysis. It will involve interpreting and disseminating the results
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unsupervised learning. These methods will be based on new classes of partial differential equations on graphs and new graph neural network models based on diffusion processes. The developed algorithms will be