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equivalent) in any relevant chemical engineering or science subject.Funding is co-funded through Engineering and Physical Sciences Research Council (EPSRC) and BASF . Project summary The Industry Case (IDLA
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reliable digital twins remains difficult, limiting their clinical use. In this project, you will build on our past work designing Physics-Informed Machine Learning (PIML) for cardiac digital twins. PIML is a
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(including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose
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page after you click the “Apply” button, above. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
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to their primary research area; Demonstrate the ability to conduct independent research, including a critical assessment of their own and others’ research; If you are interested in applying, I will be happy
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. For more information and details of how to apply, please contact Gemma Goldenberg g.goldenberg@uel.ac.uk . The selection process will comprise of an informal chat via MS Teams, candidates shortlisted from
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disorders by producing high-purity cultures of human neural cells as well as co-cultures of neurones and glial cells. Our work involves the use of advanced genetic editing technologies to create these models
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page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We pride ourselves on being inclusive and welcoming
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to inside their usual classroom. The study found that the outdoor environment also supported the attention and prosocial behaviour of children who struggled indoors. This new project will use child wearables
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the social sciences showing how household occupants use a range of situated and creative ways to conserve energy evidencing the embodied knowledge and skills people apply to their everyday living. Motivated by