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                fluorescent activated cells sorting (FACS)-based screens using iPSC-derived neuronal models of HSP. The lab employs an integrated approach that combines state of the art cell biology, biochemistry, proteomics 
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                for a post-doctoral level scientist with analytical and modelling skills to work with an interdisciplinary, international team working the upper Rio Negro region of Amazonian Brazil in the project “Tsiino 
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                (multivariate classification and/or computational modelling) to carry out fundamental science research in the Woolgar lab. The ideal post holder will have prior experience with acquisition of fMRI and/or MEG data 
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                processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties 
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                We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor 
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                Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical 
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                will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be 
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                Claudia Monaco’s research group at the Kennedy Institute of Rheumatology. In this role, you will apply single cell biology and cell signalling techniques combined with in vivo and in vitro models 
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                The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity 
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                large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences