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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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Ionic CONductor) materials have a 3D structure allowing the fast diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities
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this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point
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electrode materials is a key factor in advancing this technology and promoting its use in practical applications. NaSICON (Natrium Super Ionic CONductor) materials have a 3D structure allowing the fast
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(or near completion) in physics, chemistry, photovoltaics, materials science or related science or engineering subjects experience with 3D, 2D, lead free, and inorganic perovskites; perovskite-based
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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include: Conducting high-resolution model simulations of convective storms Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere interactions, and
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Requirements Neural data recording and analysis. Signal processing. Optimization and support for signal acquisition in laboratory experiments. Documenting, reporting and presenting results to the research team
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as possible thereafter. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary
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, Biomedical Sciences, or Life Sciences. Extensive experience in cell culture, 3D culture, drug screening, and fluorescent microscopy. A prior experience in molecular and cancer biology. A candidate should have