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Applications are invited for a Doctoral Candidate in SHIELD (Strategies for Healing Implant-Associated Infections and Enhancing Longevity in Devices) Doctoral Network. The candidate would be working
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brand-new project. Collaborating with lab members and highly supportive marmoset community, you will establish wireless electrophysiology and optogenetics in freely behaving marmosets and reveal the
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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group specialising in LiFi and optical wireless communications. The LRDC partners with leading universities, research institutions, government and industry across the UK and around the world. Through
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content for the website and social media channels for our growing alumni network. This is a 60% FTE role (21.75 hours per week) and TOIL may be given at the discretion of the line manager. This is a
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responsibility in setting the strategic direction of our ecosystem restoration work. You will have extensive international networks in the field of ecosystem restoration and a proven track record of building
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to childcare, a cycle to work scheme, to shopping and insurance discounts. University-led initiatives in the areas of equality, diversity and wellbeing include staff and students networks. These include
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broader network of genes that modulate CAG repeat instability and integrate this network with the broad DNA Damage Response network. Uncovering this network would represent an important step toward
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity