39 parallel-computing-numerical-methods PhD scholarships at University of Nottingham in Uk
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methods including quantitative, qualitative and health economic approaches. Informal enquiries may be addressed to the Nottingham MHM programme lead for mood disorders and lead supervisor of this PhD: Dr
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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or temperature. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of electro-responsive soft-actuators. The overall aim is to develop and exploit new designs
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-controlled structural colours that respond to stimuli. You will develop the materials, methods, and designs necessary to 3D-print the next generation of structural colour devices, integrating optically- and
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will develop the materials, methods, and designs necessary to 3D-print never-before created devices. You will develop new functional materials, and new engineering solutions only possible through multi
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt