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consider strong candidates in any research area but will prioritize Artificial Neural Networks. A PhD in computer science or a related area is required. The successful candidate will receive a competitive
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particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC‑PF) computations, potentially facilitating real‑time contingency analysis, rapid design
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
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desirable. Familiarity with explainable AI, causal inference, or biologically inspired neural networks, as well as experience collaborating with experimental laboratories, will be considered strong assets
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. e.g. logistic regression, SVM, neural network models Basic experience with networking and client/server applications System level design- object oriented programming Basic knowledge of hardware- digital
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research community in exploring near-analog biologic brain inspired solutions to reduce power consumption in neural networks. In this project you will be involved in a collaborative effort investigating
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, each with strong groups of neuroscientists and shared core facilities that support cutting-edge neurobiology research. Arthropod Neurobiology encompasses the study of neural mechanisms underlying sensory
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performance and/or neural structure/function that govern the rate of cognitive development in childhood and/or old age. The post holder will have an interest in theory-based developmental cognitive (neuro
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize