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suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials
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London (South Kensington Campus). If you require any further details on the role please contact: Prof. Eric Kerrigan e.kerrigan@imperial.ac.uk To apply, please click the Apply now button at the top of
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, Mathematical Sciences, Materials Science and Engineering, and Chemical Engineering are welcome to apply. If you are seeking an exciting opportunity to become part of a multidisciplinary team of esteemed
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 1 month agowas pivotal in identifying LMTK3's oncogenic roles, including its contribution to chemo- and endocrine resistance, and its function as a regulator of the tumour microenvironment. His group successfully solved
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, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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Prostheses with Real-Life Colour Appearance". The aim of the programme is to produce high-fidelity silicone-based facial prostheses by modern additive manufacturing (3D printing) techniques. The purpose
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Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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, intermittent behaviour of renewable generation but also social aspects and market structures related to how we use electricity, increase uncertainty. Power systems are inherently nonlinear dynamical systems