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technology transfer and an insilico approach to the development of continuous processes based. The project will use as a baseline the mAb solutions platform process and standard downstream operations as
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particle size changes due to breakage and agglomeration. The rates are dependent on process parameters (e.g., impeller speed and operation) and material properties (e.g., hardness and flowability
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Department - Loughborough: Mechanical, Electrical and Manufacturing Engineering Secondary Department - Loughborough: Physics Closing date of advert: 5th July 2024 Start date: October 2024 Full-time
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the Centre for Doctoral Training in Complex Integrated Systems for Defence & Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological
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funded PhD are to first quantify expertise in VAR decision-making and highlight constraints that undermine this process (such as time, technology, and psychological stress). We then aim to test training
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two groups have developed interdisciplinary collaborations and conducted pilot projects in specific sporting applications. This PhD project will now expedite this process by formally leading
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degree in Engineering, Mathematics or Physics. Please contact the main supervisor, Dr David Apsley, before you apply: [email protected]
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involved in the process before it can be taken to industry. This PhD project will develop new understanding on the Joule bonding and debonding processes of such conductive epoxy nanocomposites used as self
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and physically connected, which offers a unique environment for research on the mathematical aspects of computer science among the top theory groups in the UK.) Funding Details Full payment of tuition
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a strong background in Computer Science, Engineering, Maths or Physics, and preference would be given to those with a good understanding of computer vision and deep learning. It is essential to have a