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Field
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the context of reproductive ageing. A focus on cellular and molecular biology techniques will be employed using animal models and human tissues. Who you are The successful candidate will enhance the science
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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simulation of complex patient pathways". These are trainee positions that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired
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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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assessment, early health technology assessment, and/or medical innovation development • Health economic modelling with Markov cohort model/ discrete event simulation • Data analysis or data management using
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing experiments on pore scale and core scale using MRI, but also to provide input for modelling and
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researchers and students. Your role will include designing and conducting experiments, developing theoretical models, and supporting the characterisation of nanophotonic and quantum photonic systems. You will