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focuses on understanding how tumour cell plasticity and dynamic cell state transitions drive resistance, and aims to identify actionable vulnerabilities that could inform future therapies. You will work
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computational resources that are needed, but also because it is prone to undetermined error propagation and validation and because it is intertwined with multi-scale, turbulent dynamics. Reliable experiments
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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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finance to support people and nature, with an emphasis on transitioning from extractive systems to regenerative, nature-positive economies. The role involves exploring innovative finance mechanisms, non
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cellular interactions in tissue, better understand and model the mechanisms driving inflammation and aging, and capture spatio-temporal dynamics in development, all with the aim of uncovering new biology
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. As part of a dynamic research environment, you will provide mentorship to junior team members and contribute to collaborative projects within and beyond the department. The post will be based
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in cilia. Transport within cilia, the cell’s signalling and sensory antennae, is central to human biology. It enables these cell-surface organelles to assemble and dynamically change their proteome in
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Research Council (NERC), at the Department of Engineering Science (central Oxford). The post is fixed-term for three years. The NERC-funded project will quantify the role of surfactants in the production