480 postdoctoral-position-in-polymer-molecular-dynamic-simulation PhD positions in United Kingdom
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, there is no consensus on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and
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related to staff position within a Research Infrastructure? No Offer Description About us The School of Neuroscience is UK’s 2nd largest Neuroscience school with over 500 researchers and 200 PhD students
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new brain decoding methods and
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PhD Studentship: Ageing of stowable polymer composites for space applications Deployable spacecraft structures, such as extendible masts and antennas, unfolding panels, and even inflatables
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A fully funded 3.5 years PhD position in the field of experimental nanoscience at surfaces and molecular imaging of conjugated polymers is available in the group of Prof. Giovanni Costantini at UoB
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Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
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, antennas, and electromagnetic metasurfaces. The computer-aided simulation of electromagnetic fields is critical in the design of most computing and communications devices, such as high-speed interconnects in
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This 3.5-year PhD is fully funded; the tuition fees are paid and you will receive an annual tax free stipend set at the UKRI rare (£20,780 for 2025/26). The funding is linked to UK Research and
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform