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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time) - 8060F' as the programme of study You will then need
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘PhD Mechanical Engineering (full time) You will then need to provide the following
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select ‘Electrical and Electronic Engineering PhD (full time) - 8060F' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal
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the programme code: 8030F · select ‘PhD Chemical Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents