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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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to investigate the role of brain network dynamics for adaptive behaviour. Our research programme bridges work across scales (local circuits, global networks) and species (humans, mice) to uncover
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, School of Physical Sciences, and the University of Lincoln’s research themes of Sustainability and Net Zero. You will have, or will soon obtain, a PhD in chemistry. Each of the positions will require
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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the growth and stability of individual filaments or organise multiple filaments into various bundled and branched networks. This role will focus on a family of actin-binding proteins that regulates the actin
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multiple filaments into various bundled and branched networks. This role will focus on a family of actin-binding proteins that regulates the actin cytoskeleton and links it to other intracellular components
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participation in conferences and events. Desirable It is desirable that the candidate has a Masters or PhD in electronic engineering, computer science or equivalent Fluent in Python and Python Libraries: Scikit
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Location: South Kensington, London About the role: Applicants are invited to apply for one Marie Skłodowska-Curie Doctoral Network Researcher position funded by Horizon Europe Marie Currie Doctoral