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theory proposed by Urbanczik & Senn (2014, Neuron) suggesting that plasticity is driven by prediction errors generated within neurons when the activity in dendrites does not match the activity in the soma
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well as methods for inferring genealogical structures such as ancestral recombination graphs (ARGs) and leveraging them to study heritable traits and human evolution. Applicants should hold a be near completion of
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first degree in Engineering or Mathematics with specialization in control systems and have completed or be about to complete a doctorate in Control Theory/Dynamical Systems or a highly relevant subject in
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qualitative data collected in previous project phases, authoring and co-authoring additional research papers. Prepare working theories and analyse qualitative and quantitative data from a variety of sources
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to density functional theory and many body perturbation theory based methods such as GW+BSE. Applicants should have expertise in the computational implementation of both ground and excited state first
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above. They will be part of an interdisciplinary plasma theory group comprising researchers interested both in plasma astrophysics and plasma physics applied to magnetic- and inertial-confinement fusion